In an interview, BSH Head of Governance, Methods, and Systems Heiko Schletz explained how the company is reshaping finance and why its move to the cloud is a critical ingredient to a successful AI-enhanced future.

Technology follows vision

Represented in more than 50 countries, BSH manufactures home appliances in 39 factories worldwide. Schletz鈥檚 team oversees group controlling and is responsible for ensuring that financial data flows smoothly from its core systems, such as ERP, all the way up to the consolidated group level. His team manages how financial data is structured and integrated across all global entities, ensuring it can be used effectively for company-wide reporting and decision-making.

BSH is working to bring accounting and controlling together into one integrated process, supported by real-time data and analytics. One principle is guiding this transformation: technology follows vision, not the other way round. As part of its transformation journey, BSH is embracing change by testing new technologies to support its vision.

To simplify reporting efforts, for example, , 麻豆原创鈥檚 next-generation data management platform that can unify and govern all 麻豆原创 data and seamlessly connect with third-party data.

A recent use case automatically connected accounting balances, controlling P&L data and market metrics in 麻豆原创 Datasphere and delivering consolidated reports without spreadsheets and manual effort. 鈥淭his shows where the journey is going鈥攋oining sources, bringing them together,鈥� Schletz says.

Breaking down silos to empower AI

BSH鈥檚 long-term goal in the financial area is to get rid of silos between accounting, controlling, and treasury. Schletz envisions a parallel ledger architecture that supports both鈥攍egal entity and consolidated group views鈥攅nabling advanced analytics such as value-driver trees. By moving to 麻豆原创 S/4HANA Cloud Private Edition, integrated with 麻豆原创 Datasphere and 麻豆原创 Analytics Cloud, BSH aims to create a single source of truth for finance spanning from subsidiary ledgers to group-level consolidation.

Schletz is convinced that with a cloud-based, synchronized toolset, his finance team can deliver the latest figures for decision-making faster and with less manual consolidation. 鈥溌槎乖粹�檚 AI evolution is running in the direction we also want to go,鈥� Schletz explains. 鈥淭he technology meets our vision and that鈥檚 why it鈥檚 a perfect fit.鈥�

The company has relied on 麻豆原创 solutions for decades, starting with 麻豆原创 R/3 and now running 麻豆原创 S/4HANA, 麻豆原创 Business Warehouse, and 麻豆原创 Analytics Cloud. The next milestone is cloud migration: RISE with 麻豆原创. 鈥淚n the next two years, we go into the cloud,鈥� Schletz says. 鈥淲e want a synchronized toolset that gives us a holistic view.鈥�

To get the most out of analytics and AI functionalities, BSH is currently consolidating and simplifying its comprehensive business application landscape. The company鈥檚 target is to move from six separate ERP solutions to one global 麻豆原创 S/4HANA environment that covers all subsidiaries and geographies.

How to prepare an 麻豆原创 S/4HANA transformation

Schletz鈥檚 advice for other organizations exploring the RISE with 麻豆原创 journey is to start with a clear vision. 鈥淚f you don鈥檛 begin with a concept that combines accounting and controlling, don鈥檛 start with 麻豆原创 S/4HANA,鈥� he says, noting that a finance transformation is not an isolated IT project鈥攊t requires alignment across logistics, sales, and customer service. 鈥淭he 麻豆原创 S/4HANA conversion is a cross-functional adventure,鈥� he adds.

BSH鈥檚 journey is ongoing, but the direction is set. Cloud migration via RISE with 麻豆原创, integrated data, and a finance function designed for insight rather than manual effort. 鈥淲e want the machine to do what it does best, so people can focus on creating value,鈥� Schletz concludes.

This weekend, the golf drama will unfold at the storied Bethpage Black Course in New York, as rivalry and camaraderie collide. For the first time, 麻豆原创 will be at the heart of the action as a Worldwide Partner of the 2025 and 2027 Ryder Cup.

Transforming the Ryder Cup fan experience

Since its inception in 1927, the Ryder Cup has united millions of fans around unforgettable moments. Yet behind the emotion and spectacle lies immense complexity. Two distinct organizations, the PGA of America and Ryder Cup Europe, must come together every two years to deliver a seamless tournament experience.

Going into the 2025 event, the Ryder Cup turned to 麻豆原创 for help in transforming what it means to engage fans across the two organizations. With a goal of moving beyond a 鈥渙ne-day鈥� experience to building an 鈥渆veryday鈥� connection, the Ryder Cup wanted to ensure every fan — whether onsite or halfway across the world — feels immersed in the tournament, experiencing the excitement, emotion, and strategy as if they were on the course.

This partnership will allow the Ryder Cup to benefit from using 麻豆原创 technologies to further enhance the experience for fans. 麻豆原创 Customer Data Platform will unify fan data from multiple sources, creating a single, comprehensive profile for each fan. 麻豆原创 Emarsys will then use that data to deliver personalized content across marketing channels. 麻豆原创 Datasphere will harmonize customer and business data and help identify insightful correlations, making it ready for visualization in 麻豆原创 Analytics Cloud, where insights can be turned into action. 麻豆原创 Datasphere and 麻豆原创 Analytics Cloud are part of 麻豆原创 Business Data Cloud.

Together, these solutions will help the Ryder Cup gain a deeper understanding of audience behavior, drive engagement, and deliver personalized experiences at scale, while paving the way for future AI-driven innovation and a globally connected fan journey. Beyond tournament week, this 360-degree view of each fan will provide insights that benefit both organizations year-round, improving planning, marketing, and engagement that can be scaled across other professional tournaments.

Shared values in action

The Ryder Cup is more than a sporting event. It is a showcase of teamwork, resilience, and strategy — qualities that are equally essential in business. At its core, every Ryder Cup moment is defined by a challenge that demands a solution, whether it鈥檚 a player navigating tough conditions, making a critical decision under pressure, or leading a team to victory.

Through this partnership, 麻豆原创 highlights the performance and collaboration that drive success, inspiring organizations and individuals to bring out their best on the course and in business.

Looking ahead

As anticipation builds for Bethpage Black this weekend, fans will see and feel 麻豆原创鈥檚 presence throughout the tournament, from on-course signage to coverage on TV, online, and social channels.

Beyond the event, 麻豆原创 and the Ryder Cup are laying the foundation for a new era of fan engagement, connecting millions of fans around the world and helping to create moments that will be remembered long after the final putt.

By embedding sustainability into core business applications, unifying fragmented data across the enterprise, and amplifying human expertise through AI, 麻豆原创 is transforming how organizations turn sustainability commitments into competitive advantage.

Across the C-suite, leaders face pressure to make good on their organizations鈥� sustainability commitments while ensuring these initiatives create tangible value for their specific business units and departmental operations.

COOs grapple with maintaining resilient supply chains while embedding sustainability metrics for better risk prediction. CFOs struggle to gain visibility into integrated financial and non-financial data needed to manage reporting and drive sustainable growth. CPOs seek transparency of suppliers鈥� sustainability footprints across the source-to-pay process, while CHROs work to engage talent with authentic sustainability performance. Meanwhile, CROs need verified sustainability data to build brand trust and enable green premium pricing, and CIOs face the complex challenge of integrating sustainability data while managing governance, cost, and AI-driven innovation.

What鈥檚 missing is not awareness, but actionable, decision-grade sustainability data worthy of sitting alongside financial and operational metrics. This is why we build sustainability directly into our applications, generating new, usable data at the source of business activity.

Organizations find themselves constrained by financial systems, inconsistent data, and business processes that were not designed to address sustainability鈥檚 multifaceted nature. By ensuring this sustainability data becomes part of customers鈥� larger data story and drives core processes, we overcome these constraints.

This isn鈥檛 a peripheral issue; sustainability now intersects every critical business function, and the thoughtful organization of sustainability data. Its application to business processes prepares organizations for their agentic AI future, where sustainability metrics contribute to broader business intelligence tools like margin optimization agents rather than being siloed in sustainability-only solutions.

In this environment, 麻豆原创 emerges as a strategic partner that combines sustainability data with business processes to drive real change. By harnessing the power of 麻豆原创 Business AI and 麻豆原创 Business Data Cloud, we translate intricate sustainability challenges into clear, executable strategies.

This week, we introduced a new evolutionary step of sustainability solutions that go beyond traditional software updates. These solutions are designed to bridge the critical gap between organizational ambition and tangible outcomes. We help businesses manage risk, ensure compliance, and unlock meaningful enterprise-wide value.

This is more than a technological upgrade; it’s a strategic framework for sustainable business innovation. And now, we’re translating that strategy into action, through AI-powered innovations that scale.

AI for sustainability at scale: New innovations for EHS and product compliance

Beginning in August 2025, new capabilities will be available in beta, embedded within key sustainability applications to help customers ready their data, automate processes, and amplify their expertise. These AI-driven innovations streamline operations across environmental, health and safety (EHS) and product compliance workflows, driving measurable and scalable impact.

Here鈥檚 a look at what鈥檚 coming:

• AI-assisted permit management in 麻豆原创 S/4HANA for EHS environment management simplifies and automates permit handling by capturing and extracting key data from permit documents and automatically proposing relevant follow-up tasks to ensure compliance.
• AI-assisted safety observation reporting with , 麻豆原创鈥檚 AI copilot, in , enables seamless, intuitive incident reporting through a conversational interface, reducing barriers to shop floor safety documentation.
• AI-assisted safety instruction generation in 麻豆原创 S/4HANA for EHS workplace safety suggests appropriate safety instructions based on risk assessments and job hazard analyses, supporting proactive and preventive measures.
• AI-assisted compliance information processing in 麻豆原创 S/4HANA for product compliance automates the extraction and mapping of critical data from declarations, certificates, and safety data sheets, improving accuracy and freeing teams from tedious manual work.

These features will be available in beta and will be part of the new , reflecting 麻豆原创鈥檚 commitment to delivering embedded, business-ready AI that drives real outcomes.

AI that鈥檚 already delivering value

麻豆原创 customers are already leveraging Business AI to supercharge their sustainability efforts, including:

• In , AI accelerates environmental, social, and governance (ESG) report generation with editable templates, generative text, and visualizations, freeing teams to focus on ESG execution, not formatting.
• In , AI automates emission factor mapping by intelligently matching products to thousands of lifecycle assessment database entries, complete with confidence scores.
• In , AI automatically validating and extracting data from International Sustainability and Carbon Certification (ISCC) PLUS supplier declarations, minimizing errors and increasing speed.

These intelligent capabilities help customers reduce costs, mitigate risk, and drive business performance across reporting, carbon management, circularity, and regulatory compliance.

What鈥檚 next: unlocking enterprise-wide sustainability insights

In the second half of 2025, 麻豆原创 will make 麻豆原创 Sustainability Control Tower available as an Intelligent Application within . This will unify sustainability data and business operations on a single platform, enabling consistent reporting, deeper insight, and smarter decision-making across the enterprise.

A technology preview of these solutions will be made available to selected customers before general availability.

One sustainability data model: From complexity to clarity

麻豆原创 is also introducing new sustainability data products throughout 2025 as part of our strategy to deliver hundreds of curated and governed datasets across . These data products, accessible via 麻豆原创 Business Data Cloud, will include:

• Structured emissions data (air, water, wastewater) from 麻豆原创 EHS Management and 麻豆原创 S/4HANA for product compliance
• Additional datasets from 麻豆原创 Sustainability Footprint Management

This unified sustainability data model will empower customers to strengthen compliance, simplify analytics, and scale sustainability programs with confidence and clarity.

Process intelligence meets sustainability intelligence

True progress does not just come from better data, it comes from better processes. That is why 麻豆原创 is embedding sustainability impact metrics into the starting in autumn 2025. These new capabilities will include:

• 麻豆原创 Signavio Value Accelerators: Pre-built process models and industry best practices tailored for regulatory-specific use cases
• 麻豆原创 Signavio Process Intelligence: Analytics tools that identify opportunities to optimize business processes and embed sustainability at scale

With these additions, customers can align process transformation efforts with environmental goals, helping close the gap between strategy and execution.

Your best, made real

With 麻豆原创, transforms from a compliance checklist into a lever for innovation, resilience, and growth. By embedding sustainability into applications, unifying data across the enterprise, and enabling intelligent automation through AI, we empower organizations to be sustainable while accelerating performance.

From frontline safety to carbon reporting, from real-time data to boardroom insights, this is what 鈥測our best, made real鈥� looks like.

Welcome to a new era of sustainable enterprise management, powered by 麻豆原创.

Sophia Mendelsohn is chief sustainability and commercial officer at 麻豆原创.
Gunther Rothermel is chief product officer for 麻豆原创 Sustainability.

We’re witnessing the rise of a new wave of intelligent applications reshaping how organizations operate, embedding real-time data and critical operational context with AI models to enable swift and thoughtful decisions. Unlike traditional software that is governed by rigid business rules, these modern applications can learn and adapt to rapidly evolving customer and market demands 鈥� detecting changes to optimize processes, anticipate needs, and collaborate with both human and artificial “thinkers” to create competitive advantage for an organization. 

Yet, we stand at the cusp of a bolder wave of innovation, one that unfortunately only the discerning few organizations may fully harness. Despite the vast potential of AI and cloud technologies, their true impact hinges on using these innovations with the secure and semantically rich data that is vastly available within an organization. 

Transform outcomes with intelligent applications

This year at 麻豆原创 Sapphire, we unveiled a significant expansion of 麻豆原创 Business Data Cloud to deliver on the promise of intelligent applications: prebuilt, composable applications that seamlessly integrate trusted data products, AI capabilities, and business simulations to serve the needs of every business leader.

These intelligent applications are not just analytics tools; they transcend traditional analytics by automating and orchestrating work across both analytical and transactional workflows, enabling customers to make decisions and execute actions within 麻豆原创 Business Data Cloud.

Today, we are introducing new intelligent application capabilities in 麻豆原创 Business Data Cloud, starting with People Intelligence, an offering grounded in workforce composition, skills, and compensation data products. Built on data from 麻豆原创 SuccessFactors software, People Intelligence provides HR and business leaders with AI-driven recommendations to optimize talent decisions, drive engagement, and ensure compliance. It features capabilities such as workforce composition insights, compensation insights, and skill insights, all available in the second half of 2025.

Additional intelligent application capabilities in 麻豆原创 Business Data Cloud that are entering technology preview include: 

• Cloud ERP Intelligence: Empowers leaders with transformative insights, business simulations, and AI capabilities to manage uncertainty, drive profitability, and meet sustainability goals. These capabilities include new data products from key business processes such as manufacturing (production execution, resource optimization, etc.), supply chain (inventory, deliveries. etc.), and contract accounting (payments, billing, etc.). 
• Customer Intelligence: Guide sales, service, marketing, and commerce teams with a 360-degree customer view to anticipate needs, improve targeting, and build a comprehensive customer profile.  
• Finance Intelligence: Provides CFOs and finance teams with real-time forecasting and planning, connected data across systems, and AI-powered anomaly detection. 
• Spend Intelligence: Delivers procurement and operations leaders real-time spend visibility to minimize supplier risk, flag spend outliers, and reduce costs.

Each intelligent application in 麻豆原创 Business Data Cloud is underpinned by curated, governed data products, sets of structured business data and metadata designed to accelerate use cases and reduce data integration overhead. And with 麻豆原创 Databricks natively available in 麻豆原创 Business Data Cloud, users can leverage 麻豆原创 data products with existing lakehouses with a zero-copy approach.

As part of these technology previews, we are also announcing the delivery of hundreds of new data products throughout 2025 across all 麻豆原创 Business Suite domains 鈥� from inventory optimization and delivery analysis to sustainability and compliance data products. The first wave includes new environmental, health, and safety (EHS) and product compliance datasets, with sustainability footprint data to follow later in the year. 

Amplify the value of AI with your most powerful data

In addition, 麻豆原创 Business Data Cloud is expanding its knowledge graph capabilities. Originally launched within 麻豆原创 Datasphere, the knowledge graph can now ingest and map metadata across 麻豆原创 and external sources, and seamlessly consume models published in 麻豆原创 Knowledge Graph on 麻豆原创 BTP. This creates a living model of how business data is structured and connected, providing a semantic backbone for AI to operate with higher precision.

Paired with Joule in 麻豆原创 Business Data Cloud, now generally available, users can engage with complex business data as naturally as they think, without the constraints of traditional technology. Joule unlocks the full richness of enterprise information, empowering people across the organization to navigate, reason, and act with intelligence grounded in real business context.

Open data ecosystem: Expanding intelligence beyond 麻豆原创

We are also making 麻豆原创 Business Data Cloud more accessible to power the next generation of intelligent, multi-cloud applications.

Starting in the second quarter, 麻豆原创 Business Data Cloud is available on AWS, with Google Cloud and Microsoft Azure expected to follow in the second half of 2025. This makes 麻豆原创鈥檚 data foundation more accessible and deployable within multi-cloud strategies, giving customers the flexibility to run intelligent workloads wherever they operate. 

At the same time, 麻豆原创 is actively collaborating with leading partners to build the next wave of intelligent applications.

• Accenture will release six intelligent applications addressing key challenges in supply chain, talent, finance, and procurement (GA timeline pending). 
• Adobe and 麻豆原创 are co-developing an application that fuses Adobe鈥檚 marketing data with 麻豆原创鈥檚 financial and supply chain data, enabling real-time alignment between demand signals and operational planning, expected in late 2025. 
• Palantir and 麻豆原创 are partnering to facilitate joint customers鈥� cloud migration journey and modernization programs. Seamless connectivity between Palantir and 麻豆原创 Business Data Cloud will enable customers to build a harmonized data foundation across their enterprise landscape. 麻豆原创 Business Data Cloud and Palantir Foundry and AIP will transform data silos into a trusted data foundation that enables human + AI teaming in the real world. Together the companies will responsibly deliver essential outcomes and support customers, including the U.S. government, to quickly adapt to changes and disruptions.
• Thomson Reuters will develop an intelligent application to help customers navigate the fast-moving challenges in the current global trade and tariffs environment, planned for end of 2025.
• Joint Collibra and 麻豆原创 Business Data Cloud customers can now run up to 10x more active data quality jobs in Collibra Data Quality & Observability when run on 麻豆原创 BDC data, at no additional cost. This limited time offer helps accelerate decision-making, strengthen compliance, and improve AI readiness, and is available until May 30, 2026.

The scope of partner collaboration also extends to data enrichment use cases. A new partnership with 惭辞辞诲测鈥檚 will let our joint customers blend 麻豆原创鈥檚 accounts receivable data with 惭辞辞诲测鈥檚 risk datasets to enhance cash flow forecasting, prioritize collections, and reduce exposure to bad debt. This solution is scheduled for general availability in the fourth quarter of 2025. 

We鈥檙e excited to partner with our customers and ecosystem to unlock a new generation of intelligent applications in 麻豆原创 Business Data Cloud, where trusted data, AI, and business context come together to drive meaningful change. The future of modern business will belong to those who turn intelligence into action.

Get started

• featuring the latest on data products and intelligent applications in 麻豆原创 Business Data Cloud

Irfan Khan is president and chief product officer of Data and Analytics at 麻豆原创.

In 2023, Google Cloud and 麻豆原创 established a strategic partnership, which continues to deliver significant value for enterprises seeking to maximize insights from their data. Building upon that foundation, the partnership is now evolving to focus on 麻豆原创 Business Data Cloud, a fully managed SaaS solution that unifies and governs all 麻豆原创 data and seamlessly connects with third-party data.

By connecting BigQuery, Google鈥檚 autonomous data to AI platform with agentic capabilities powered by Gemini, and , Google Cloud and 麻豆原创 aim to help enterprises of all sizes gain insights across their enterprise data landscape and unlock new generative AI capabilities.   

Strong analytics partnership foundation

麻豆原创 and Google Cloud have enabled integration between 麻豆原创 Datasphere and BigQuery, which remains a cornerstone of the evolution of the partnership with 麻豆原创 Business Data Cloud. The collaboration aims to help customers access BigQuery data in 麻豆原创 Business Data Cloud and vice versa. Expanding the two-way data federation capabilities first pioneered with 麻豆原创 Datasphere will enable customers to join diverse datasets and obtain deep comprehensive insights without building and managing complex ETL pipelines.

Our objective is to enable all enterprises to streamline data integration and data science, enhance their analytical workflows, and accelerate their transformation into an AI-driven enterprise. By using the combined strengths of Google Cloud and 麻豆原创, customers can gain faster, more accurate, and actionable insights, augmented by intelligent automation and novel content generation. 

Innovating with data unified across 麻豆原创 Business Data Cloud and BigQuery

A cornerstone of this collaboration is seamless connectivity between 麻豆原创 data solutions and Google Cloud鈥檚 powerful data platform. With the existing integration of 麻豆原创 Business Data Cloud and BigQuery, customers can facilitate business analysis across their entire data estates, providing enterprises the ability to unify 麻豆原创 and non-麻豆原创 data to create powerful insights and innovate faster with generative AI.

Key features include:

• Seamless data federation: Directly integrate enterprise data warehouse data in BigQuery with 麻豆原创 data in 麻豆原创 Datasphere. Federation from 麻豆原创 Datasphere to BigQuery is in preview, enabling similar integration into broader data strategies. 
• Efficient bi-directional replication: Smoothly replicate data between 麻豆原创 systems and BigQuery using replication flows from 麻豆原创, enhancing performance and mitigating query bottlenecks. 

麻豆原创 Business Data Cloud is planned to be available in three Google Cloud regions in Q2 2025, including India, Frankfurt, and Iowa, with more to follow over the coming year

Success stories: Realizing value today  

Joint Google Cloud and 麻豆原创 customers are already benefiting from the seamless integration between 麻豆原创 Datasphere and BigQuery.

Power International, a major consumer electronics company, leveraged the integrated solutions to help modernize its sales reporting process. Using 麻豆原创 Datasphere, BigQuery, and Dataform for sales pipeline automation, the company built a real-time sales reporting and analytical solution, which replaced static PDF reports. Power International now enjoys deeper, dynamic, and more actionable business insights, available on demand, which in turn drive improvements in sales performance. 

Driving future integration and innovation 

Building on the existing partnership between 麻豆原创 and Google Cloud and extending our collaboration in the context of 麻豆原创 Business Data Cloud will allow us to enrich analytics and AI capabilities for our joint customers. This approach will allow customers to tap into the comprehensive suite of 麻豆原创 data solutions and integrate with the extensive data sets in BigQuery whether they are private, shared, or public. 

Customers can also complement the AI capabilities available in 麻豆原创 Business Data Cloud with AI applications built on Google Cloud, powered by Google鈥檚 industry-leading Gemini model and third-party AI models available in Vertex AI. This initiative aims to provide pre-packaged, intelligent data products that accelerate time to value for common business scenarios, leveraging the strengths of both platforms. 

To learn more about the 麻豆原创 and Google Cloud partnership, visit booth 301 at 麻豆原创 Sapphire Orlando, taking place May 19-21, 2025.

Irfan Khan is president and chief product officer of Data and Analytics at 麻豆原创.
Andi Gutmans is vice president and general manager of Data Cloud at Google Cloud.

Today, 麻豆原创 announced 麻豆原创 Business Data Cloud, a fully managed software-as-a-service (SaaS) solution that unifies and governs all 麻豆原创 data and seamlessly connects with third-party data. As an evolution of our industry-leading data, planning, and analytics solutions, 麻豆原创 Business Data Cloud brings together 麻豆原创 Datasphere, 麻豆原创 Analytics Cloud, and 麻豆原创 Business Warehouse with a unified experience that delivers transformational insights across all lines of business.  

麻豆原创 also announced a landmark partnership with Databricks that brings the power of Databricks directly into 麻豆原创 Business Data Cloud. This marks a new era in enterprise data management, with two leaders in their domains coming together to redefine how applications and data platforms work together.

Unleash transformative insights

Many organizations still grapple with data they cannot trust. This persistent gap in trust remains a barrier to true innovation in data and AI.

A found that 55 percent cite poor data quality as their biggest challenge. And nearly half of these leaders pointed to the difficulty of harmonizing data across ecosystems as a key reason that innovation stalls.

麻豆原创 Business Data Cloud bridges this gap with a trusted and harmonized data foundation, empowering IT and business leaders with full business context to drive more impactful decisions. 

麻豆原创 Business Data Cloud delivers fully managed 麻豆原创 data products across all business processes. These curated data products align to a highly optimized and unified 鈥渙ne domain model,鈥� maintaining their original business context and semantics, which means you get immediate access to high-quality data you can trust.

Since these data products are fully managed by 麻豆原创, you no longer bear the hidden costs of rebuilding and maintaining data extracts. The SaaS experience simplifies life cycle management, ensures data consistency, and enables zero-copy sharing across your data and analytics ecosystem. 

With these data products, 麻豆原创 Business Data Cloud delivers a suite of pre-built analytical applications that help you uncover hidden insights and fast-track decision-making. These “insight apps” are fully managed and incorporate pre-defined metrics, AI models, and planning capabilities, simplifying how you connect and integrate every part of your business.

This accelerates use cases aligned with your most important business functions, including ERP, spend, supply chain, HR, customer experience, and finance.

Every organization needs a pulse on its most important resources. With insight apps, you can use preconfigured packages already connected to your business data, such as working capital, to gain a 360-degree view of your organization鈥檚 financial health with real-time visibility into cash flow and profitability.

Connect all your data 

麻豆原创 Business Data Cloud connects all your data by leveraging business data fabric principles, making it easier to discover, share, govern, and model your data. It includes 麻豆原创 Databricks as a first-party data service, bringing the power of Databricks directly in 麻豆原创 Business Data Cloud.

• Business semantics: Use 麻豆原创 Datasphere to discover, share, and model the same trusted data across existing platforms without costly data extraction. Build a powerful knowledge graph of all your data, preserving its business metadata and semantics, so your data is easily searchable and actionable. For existing 麻豆原创 Datasphere customers, your investments remain fully supported鈥攚ith no disruptions鈥攁nd all 麻豆原创 Datasphere capabilities will natively be available in 麻豆原创 Business Data Cloud. 
• Data engineering and machine learning/AI: 麻豆原创 Databricks empowers every data professional to accelerate AI models and generative AI apps on their business data. Native capabilities like Delta Sharing harmonize 麻豆原创 data products with existing lakehouses bi-directionally. By integrating all your data with a zero-copy approach, you can apply advanced AI and machine learning models to finance use cases, like predicting the payment date on open receivables.
• 麻豆原创 Business Warehouse modernization: 麻豆原创 Business Data Cloud gives on-premise 麻豆原创 Business Warehouse customers a flexible path to the cloud. With native integration to 麻豆原创 Business Warehouse, easily access your data as a data product with the object store via Delta Share鈥攕implifying your modernization journey and maximizing your 麻豆原创 Business Warehouse investment.
• Analytics and planning: 麻豆原创 Business Data Cloud brings analytics and planning together in one solution, enabling you to go from insights to actions instantly. Automate reporting, simulate possible business outcomes with AI, and unify your financial, supply chain, and operational planning鈥攁ll in a connected view.

鈥溌槎乖� Business Data Cloud will help us unlock the value of our data and drive innovation across our business. Its semantically rich data products and deep Databricks integration will connect and enhance our existing data products, ensuring long-term adaptability. Trusted, business-ready data will empower users to model scenarios and leverage AI insights, building a sustainable and flexible future for our data ecosystems.鈥� 

Markus Hartmann, Corporate Vice President, Head of Business Technology, Henkel

Foster reliable AI 

The rapid growth of agentic AI requires organizations to first have the right data foundation. 麻豆原创 Business Data Cloud brings together all your data to ensure agentic AI is built on accurate, trusted data with business context.

Joule, 麻豆原创鈥檚 generative AI copilot, is deeply integrated with 麻豆原创 Business Data Cloud. The knowledge graph in 麻豆原创 Business Data Cloud connects your data, metadata, and business processes, enabling AI agents, Joule, and large language models (LLMs) to understand your data within the context of its relationships.

This mapping creates clear data links, making insights more reliable for users and applications. Training AI agents and Joule on business knowledge and context drives increased productivity. For instance, users can use AI to complete cross-functional tasks, uncover insights, and summarize critical information across the business鈥攚ithout heavy reliance on IT support. This empowers the usage of AI to automate complex analytics and planning tasks, such as risk assessment, forecasting, and other advanced scenario simulations.

麻豆原创 Business Data Cloud ecosystem 

At the core, 麻豆原创 Business Data Cloud is built to prioritize openness and customer choice. To simplify your data landscape, 麻豆原创 Business Data Cloud supports an open data ecosystem. It integrates natively with leading data and AI partners like Collibra, Confluent, and DataRobot. And it doesn’t stop there; we鈥檒l announce new strategic partnerships in the coming weeks and months to further expand the open data ecosystem. 

Supported by our large partner ecosystem, we鈥檝e made it easier to unleash transformative insights from all your data. We have partners with deep business process and industry domain expertise that are building insight apps on 麻豆原创 Business Data Cloud.
 
From data enrichment to data activation, partner insight apps build on top of the data products and the core services 麻豆原创 Business Data Cloud provides. We鈥檙e thrilled to announce our first partner apps with Accenture, DataRobot, Spendscape by McKinsey, PwC, EY, Deloitte, and Capgemini. 

Get started today鈥� 

Start your journey with 麻豆原创 Business Data Cloud and unleash the power of AI with trusted business data:

• Experience 麻豆原创 Business Data Cloud鈥痺ith the
• : 鈥�30-Minute Primer on 麻豆原创 Business Data Cloud鈥�

Irfan Khan is president and chief product officer for 麻豆原创 Data and Analytics at 麻豆原创.

That is where effective data integration tools come into play. These tools allow organizations to efficiently connect, manage, and orchestrate their data assets.

Data integration solutions from 麻豆原创 鈥� including 麻豆原创 Datasphere, 麻豆原创 Data Intelligence Cloud, 麻豆原创 Data Services, and 麻豆原创 Landscape Transformation Replication Server 鈥� provide customers with timely, relevant, and trusted information, simplifying their data landscapes and unlocking valuable business insights.

麻豆原创’s Recognition

Gartner庐 recently evaluated 20 vendors in the 2024 Magic Quadrant™ for Data Integration Tools, recognizing 麻豆原创 as a Leader for our 鈥渁bility to execute鈥� and 鈥渃ompleteness of vision.鈥�

We believe this recognition underscores 麻豆原创鈥檚 commitment to delivering innovative, world-class data integration tools that empower our customers and marks 17 consecutive years as a Leader.

Business Data Fabric

Effective data integration is fundamental for gaining actionable insights that drive better decision-making. Without the right tools and strategies, organizations struggle to integrate, process, curate, govern, and enhance their data.

麻豆原创 takes a business data fabric approach, which goes beyond a traditional data fabric. A business data fabric is a data management architecture that delivers an integrated, semantically rich data layer over underlying data landscapes to provide users with scalable access to their data without duplication.

This eliminates the need to recreate the business context that was lost from extracting and replicating data. It gives users the ability to accelerate their decision-making with trust and confidence, knowing they always have the complete picture of their data, regardless of where it is stored or how it was designed.

麻豆原创 Datasphere

麻豆原创 Datasphere 鈥� along with its open data ecosystem 鈥� is the foundation for a business data fabric. It equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. 麻豆原创 Datasphere helps customers:

• Access authoritative data: Accelerate time to value by automatically reusing the semantic definitions and associations from 麻豆原创 applications
• Enrich all data projects: Harmonize heterogeneous data into a business semantic model of diverse data landscape
• Simplify the data landscape: Access all data across hybrid and cloud environments no matter where it resides

With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization, 麻豆原创 Datasphere enables data professionals to easily distribute authoritative business data 鈥� with business context and logic preserved 鈥� across the data landscape.

麻豆原创 Datasphere advances data management with innovations like knowledge graph which uncovers hidden insights by revealing deep relationships between data, metadata, and business processes. The knowledge graph can then be used with Joule, 麻豆原创鈥檚 generative AI co-pilot, allowing business users to ask both open-ended and specific questions and get instant and well-documented answers.

By leveraging these capabilities within a business data fabric powered by 麻豆原创 Datasphere, organizations can save up to 138%.

Real-World Success

Since its launch, 麻豆原创 Datasphere has seen widespread adoption and innovation. Companies like have experienced transformative benefits.

Frode N忙ss Larsen, CIO at POWER International AS, highlights their experience: 鈥淭he 麻豆原创 Datasphere solution is intuitive and simple in terms of data movement from on premise to a cloud environment. The solution helps simplify our data landscape, saving hundreds of hours every year in pipeline development. They say the best run 麻豆原创, so for us, it鈥檚 a good match.鈥�

Get Started

For more than 17 years, 麻豆原创 has been at the forefront of data integration, helping customers convert fragmented data into actionable insights.

Join the movement and unlock the full potential of your business data with 麻豆原创鈥檚 leading data integration solutions. Take the next step in your data integration journey:

• Visit the
• Start your free
• Read the

Daniel Yu is senior vice president of Product Marketing for 麻豆原创 Data and Analytics at 麻豆原创.

Gartner, Magic Quadrant for Data Integration Tools, Thornton Craig, Sharat Menon, Robert Thanaraj, Michele Launi, Nina Showell, 3 December 2024
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

To ensure that patients globally receive required medications and treatment on time, the management of manufacturing and distribution must be ultra-efficient, agile, and responsive.

With patient safety on the line and high-quality expectations, there is no room for error. 

One company that has mastered this balancing act is Ireland-based , a high-growth, diversified healthcare services company that provides distribution services for pharmaceutical products. The company works closely with manufacturers to offer third-party logistics (3PL) and fourth-party logistics (4PL) services to remain true to its mission of securing patient access to pharmaceutical products.

In the last decade, UniPhar has witnessed unprecedented growth and today delivers pharmaceutical products to more than 160 countries.

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麻豆原创 and UniPhar: A 15-Year Partnership

UniPhar has grown organically and through acquisitions, and during this time its 麻豆原创 enterprise resource planning (ERP) landscape had become highly customized.

Two years ago, UniPhar鈥檚 board gave its Chief Enterprise Architect Piotr Wojdowski a mandate 鈥渢o rework the company鈥檚 digital core鈥� and deliver a digital transformation to unlock future growth while still safeguarding the highest of standards in the manufacturing and distribution chain.

In the quest to find a software partner for its digital transformation, Wojdowski says UniPhar needed 鈥渁 partner and a software that is reliable and best in class鈥� to strengthen and future-proof the company鈥檚 ability to deliver on its mission of securing patient access to pharmaceutical products.

Wojdowski explains that there is an element of social responsibility to UniPhar鈥檚 mission. The patient requiring the pharmaceutical products or services 鈥渃ould be somebody鈥檚 relatives, it could be somebody鈥檚 mother, or it could be somebody鈥檚 son,鈥� making it even more important that the selected digital transformation software and partner was not only best in class but also reliable and trustworthy. 

鈥淣ot only had 麻豆原创 proved itself to be a trusted and reliable partner for UniPhar for 15 years,鈥� Wojdowski explains, but 麻豆原创 鈥渋s a standard in the health services sector, making integration of other services easier.鈥�

麻豆原创 Advances UniPhar鈥檚 Technology and Talent

UniPhar’s goals are to grow horizontally, expand, and scale on demand. , , and play a pivotal part by, on the one hand, standardizing IT processes across the group and, on the other, managing distribution and inventories across different warehouses with 麻豆原创 EWM state-of-the-art warehouse management software, while using 麻豆原创 Datasphere for data management.

In a nutshell, says Wojdowski, 鈥渢he 麻豆原创 technology stack allows us to effectively advance our program quickly,鈥� using to build applications and extend 麻豆原创 solutions. 麻豆原创 Business Technology Platform (麻豆原创 BTP) acts as an accelerator to move to 麻豆原创 S/4HANA Cloud Private Edition, helping UniPhar transform with confidence and speed using proven migration tools and enabling integration across applications.

麻豆原创, and especially 麻豆原创 BTP, is not only a technology enabler but also allows UniPhar 鈥渢o innovate and attract the top talent as an organization because people want to come to work in an environment that is innovative, that allows you to try things, and that allows you to experiment,鈥� Wojdowski says.

Laying Foundations with 麻豆原创 Today for Tomorrow鈥檚 AI

UniPhar is currently in the implementation process and Wojdowski has a keen eye on the future, noting that 鈥渆venting, observability, and telemetry鈥� will form the basis of future artificial intelligence (AI) enhancements.

Data is critical in the pharmaceutical industry, he explains, and UniPhar 鈥渉as terabytes and terabytes of data that we are not physically able to analyze because it’s complex and massive.鈥� The plan is to migrate the data to a central repository and in the future 鈥減lug into an AI system to track patterns, track customer behaviors, track market trends, and react accordingly.鈥�

Make a Challenge a Proof-of-Concept

麻豆原创 solutions are enabling UniPhar to innovate and step into the future on its own terms, with standardized processes, best practices, and foundations for AI technology that can scale and strengthen UniPhar鈥檚 mission to improve patient access to pharmaceutical services and products across the globe.

Wojdowski says 麻豆原创 seems to have a solution for every business requirement, but even though 鈥測ou may have to customize and change things that 麻豆原创 provides out of the box, at the end of the day it’s a full enterprise suite and you can run 麻豆原创 end-to-end if you wish.鈥�

And Wojdowski鈥檚 advice for other companies planning a digital transformation? Challenges can become proofs of concept 鈥� there is no need to accept that something cannot be done. 鈥淏e brave, be daring, and ask questions. Challenge your partners and challenge yourself,鈥� he concludes.

麻豆原创 Analytics Cloud is the trusted choice for the most mission-critical organizations worldwide, redefining financial planning for enterprises globally by offering clients:

•  95% reduction in time to generate on-demand access to financial metrics
• 10x faster planning cycles via automating up to 70% of data entry points with artificial intelligence (AI)
• Increased simulation and insight generation for better plan accuracy and improved business execution with reduced risk

Unlocking the Power of Extended Planning and Analysis

麻豆原创 has long championed the integration of planning, forecasting, and analysis across the enterprise, known as extended planning and analysis. By harmonizing diverse planning functions like supply chain, sales, and finance, 麻豆原创 enables its customers to align departments and increase enterprise agility and performance. 麻豆原创 customers call this 鈥渁ligning operational planning with financial performance.鈥�

麻豆原创 believes that our recognition as a Leader in the Gartner Magic Quadrant for Financial Planning Software highlights our strategic vision and operational excellence. 麻豆原创 Analytics Cloud empowers enterprises with unified financial operations and data-driven decisions, driving agility and insight.

To learn more about 麻豆原创鈥檚 position as a Leader and see in-depth analysis of the financial planning software landscape from Gartner, read the .

For more information, visit the .

Daniel Yu is senior vice president of Solution Management and Product Marketing for 麻豆原创 Data and Analytics at 麻豆原创.

Gartner does not endorse any vendor, product or service depicted in our research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved

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Uniphar is a leading healthcare and pharmaceutical services company based in Ireland. Piotr Wojdowski, chief enterprise architect at Uniphar Group, shares how 麻豆原创 cloud technology allows the company to innovate, attract top talent, and reduce complexity. Learn more.

Those gases also include oxygen, hydrogen, nitrogen, carbon dioxide, argon, neon, xenon, and krypton鈥攁ll critical to supporting processes and products in electronics, food and beverage, metals, biopharmaceuticals, and other industries.

Business demands and market realities in the dynamic gas sector are constantly in flux, so Messer relies on real-time data intelligence to stay agile and flexible in their decision-making. Increasingly hampered by siloed data and a patchwork of third-party visualization tools, Messer embarked on a digital transformation to create a next-generation data management solution worthy of the company’s high-tech, high-flying operations.

Data with a Purpose

Messer knows critical and often lifesaving business decisions require accurate, real-time intelligence and insights. explained: 鈥淭he stakes in many of the sectors that we provide gases for are really very high.鈥�

From steel plants to the semiconductor industry to intensive care units, 鈥渋t is critical that our distribution processes are operating at a level that ensures our customers are getting what they need when they need it.鈥� 

Messer was able to rise to the moment and meet the urgent needs of its customers when the COVID-19 pandemic delivered unprecedented demand for oxygen coupled with massive logistical challenges. That global crisis revealed that Messer鈥檚 legacy IT system needed an overhaul.

Messer鈥檚 siloed data was in several different databases, which meant it was time-consuming to access, and a single source of the truth was elusive. Various visualization tools also required different data formats, which slowed reporting time and bogged the IT department as it tried to manage a complex, disparate landscape, creating, as Johnston explained, 鈥渁 huge amount of complexity and a huge amount of inefficiency.鈥�

Messer CIO David Johnston sought a solution that would provide a unified source of truth and the powerful analytics tools Messer needed to give an elevated purpose to the company’s data鈥攁 new, cloud-based data management and analytics foundation for an actual data-driven enterprise. was the company鈥檚 choice.

The Modern Data Landscape Delivers

麻豆原创 BTP, with 麻豆原创 Data Warehouse Cloud, 麻豆原创 Analytics Cloud, and the next-generation 麻豆原创 Datasphere, provided a modern data architecture to establish a single, trusted source of truth, combining 12 data sources in one solution for mission-critical business insights.

Messer has been reaping benefits across the board, from IT and supply chain cost savings to improved customer service, inventory management, and data security. 鈥淲e started with five specific use cases that we went after,鈥� Johnston shared. 鈥淎s I sit here today, we’re at well over 200.鈥�

Messer’s new, simplified IT landscape has empowered business users, who benefit from intuitive, self-service dashboards and quick access to relevant, actionable, real-time data, as well as IT personnel, to now focus on higher-value, strategic tasks. This amounts to accelerated time-to-insight and more energy and resources available to focus on future innovation.

鈥淲ith a data fabric that allows us to see our business in a consistent, fast, reliable, and highly trustworthy way,鈥� Johnston said, 鈥渨hat we can do is really almost unlimited.鈥�

Next for Messer and Wise Advice with an Eye on AI

With Messer’s new, streamlined data management foundation, the sky is no longer the limit.

鈥淥ur objective isn’t just to deliver a suite of great dashboards and great analytics stories,鈥� Johnston explained. 鈥淥ur goal is to build out a strong, coherent, strategic data fabric that will allow us to unlock the power of AI and drive the next level of business transformation.鈥�

For other organizations hoping to build the data foundation that will send them soaring into the future, ready to capitalize on and whatever else awaits, Johnston鈥檚 advice is to frame your technology transformation as a business transformation, and a business imperative.

鈥淏ring the business community together around data,鈥� he said. 鈥淎ll the key stakeholders, the influencers, and the owners of data from across the organization: bring them to the table.鈥�

The Full Episode

Messer CIO joined 麻豆原创 BTP to discuss the medical and industrial gasses industry and Messer’s digital transformation.

• : Johnston sat down with Thulium’s CEO to discuss why end-to-end data-driven insights are necessary, what technology solutions were required for the world’s largest privately owned industrial gases company to transform, and why Messer leveraged 麻豆原创 BTP to drive a complete business transformation.
• : Johnston and I discuss why and how Messer, one of the biggest suppliers of medical oxygen and other industrial mission-critical gases, built a new, cloud-based data management and analytics foundation because the future belongs to data-driven organizations, and thriving in the dynamic industrial gases sector means responding quickly to changing market conditions.

Timo Elliott is vice president and global innovation advocate for 麻豆原创 BTP at 麻豆原创.

One of Germany鈥檚 top four online fashion shops, Bonprix now operates a dynamic multi-cloud data landscape that enables it to integrate both on-premise and cloud data sources in one single platform.

Based in Hamburg, Germany, Bonprix has over 16 million active customers in more than 25 countries. The company looked to 麻豆原创 solutions for a simplified IT architecture, a faster time-to-market in business decision-making process and a self-service-enabled semantic layer to respond to market changes and ensure customers have access to the latest catwalk trends.

Supported by 麻豆原创 services and partners, including Beratungscontor, Bonprix implemented its analytics stack on 麻豆原创 Datasphere and the 麻豆原创 Business Warehouse application. By deploying 麻豆原创 Datasphere as a cloud-based data platform to 麻豆原创 BW4/HANA, Bonprix gains access to a powerful analytical platform that  bridges data across finance, sales, logistics and customer relationship management between transactional 麻豆原创 data and end users.

鈥淭he Bonprix business intelligence data based on 麻豆原创 solutions is adeptly designed for the future, leveraging the robust capabilities of 麻豆原创 BW/4HANA at its core to manage and efficiently process vast volumes of data,鈥� said Sergio Lopez Nunez, Bonprix senior BI engineer. 鈥淲hen paired with 麻豆原创 Datasphere, which offers extensive multi-cloud access, it enables the seamless integration of data from diverse sources. In essence, the Bonprix BI data platform is not only a cornerstone in daily operations but also a strategic asset in the relentless pace of technological change, ensuring that Bonprix is well-equipped to continue promoting responsible trade that inspires, now and into the future.鈥�

Having already implemented 麻豆原创 Business AI solutions 鈥� specifically, the Document Information Extraction business service 鈥� Bonprix already has experienced significant efficiency gains by automatically extracting relevant data from incoming invoices, reducing manual data entry errors and accelerating the overall invoice processing workflow.

鈥淎s one of Germany鈥檚 top online fashion shops, Bonprix鈥檚 digital transformation journey is impressive as they continue to make millions of customers happy,鈥� said Sven Mulder, managing director of 麻豆原创 Germany. 鈥淭he adoption of 麻豆原创 Datasphere and 麻豆原创 BW/4HANA marks the beginning of Bonprix鈥檚 successful cloud journey. They鈥檙e now empowered to make real-time, data-driven decisions, positioning the brand to expand into new markets with style.鈥�

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Media Contact:
Lesa Plingen, +49 622 776 9000,听lesa.plingen@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.  Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2023 Annual Report on Form 20-F.
漏 2024 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

For decades, our partners have leveraged their industry expertise and technological know-how to bring immense value to companies of all sizes. They possess a rare fusion of deep industry insights and technological expertise, which they leverage to guide businesses through the delicate process of modernization while ensuring that the essence of their identity remains intact.

We recently how they鈥檙e helping customers take better advantage of their organization鈥檚 data. Our partners have observed a significant shift in the way data is perceived and utilized. It’s no longer just a byproduct of business operations but a core asset that, when effectively distributed and made accessible, can revolutionize customer experiences and enable a more strategic, company-wide approach to decision-making.

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However, the mere availability of data is not a panacea. The crux of the matter is transforming data into actionable insights. This is where our partners excel, mapping out advanced use cases and facilitating the transition to cutting-edge platforms like 麻豆原创 Datasphere and 麻豆原创 Analytics Cloud. These solutions can empower organizations to evolve into entities where data is not just present but central to every action and decision.

The practical implications of data are vast and deeply rooted in the operational successes of our clients. AI, for instance, is a frontier rich with potential, but its success is inextricably linked to the quality and accessibility of data. Recognizing this, 麻豆原创 partners are investing in building AI capabilities that can not only propel new business functions but also deliver substantial value.

Another key area of focus for our partners is the concept of a business data fabric, which is critical in developing a flexible enterprise architecture. Such an architecture allows for co-innovation and customization of solutions, ensuring that data is not just an afterthought but a driving force in business operations.

The journey toward a data- and AI-centric business model is an ongoing one, marked by evolving needs, emerging challenges, and a relentless pursuit of innovation. The ultimate aim is to convert potential into lasting business success.

The essence of our relationship with our partners is rooted in a shared vision. We are united in our pursuit of discovery, innovation, and improvement as we navigate the future together. Be sure to with our seven strategic partners and discover how the can help your company become a data-driven organization.

Karl Fahrbach is chief partner officer at 麻豆原创.

WALLDORF and SANTA CLARA, Calif. 鈥� (NYSE: 麻豆原创) and (NASDAQ: NVDA) today announced a partnership expansion focused on accelerating enterprise customers鈥� ability to harness the transformative power of data and generative AI across 麻豆原创鈥檚 portfolio of cloud solutions and applications.

The companies are collaborating to build and deliver 麻豆原创 Business AI, including scalable, business-specific generative AI capabilities inside the Joule copilot from 麻豆原创 and across 麻豆原创鈥檚 portfolio of cloud solutions and applications 鈥� all of which are underpinned by the 麻豆原创 generative AI hub. The generative AI hub facilitates relevant, reliable and responsible business AI and provides instant access to a broad range of large language models (LLMs).

听As part of 麻豆原创鈥檚 ongoing initiative to build generative AI directly into the applications that power the world鈥檚 businesses, the partnership aims to help customers adopt generative AI capabilities at scale across their organizations. 麻豆原创 will use to fine-tune LLMs for domain-specific scenarios and deploy applications with new 鈩� microservices. 麻豆原创 and NVIDIA plan to make the new integrated capabilities available by the end of 2024.

鈥淓nterprise customers want to leverage state-of-the-art technology that delivers real business value,鈥� said Christian Klein, CEO and Member of the Executive Board of 麻豆原创 SE. 鈥淪trategic technology partnerships, like the one between 麻豆原创 and NVIDIA, are at the core of our strategy to invest in technology that maximizes the potential and opportunity of AI for business. NVIDIA鈥檚 expertise in delivering AI capabilities at scale will help 麻豆原创 accelerate the pace of transformation and better serve our customers in the cloud.鈥�

鈥溌槎乖� is sitting on a gold mine of enterprise data that can be transformed into custom generative AI agents to help customers automate their businesses,鈥� said Jensen Huang, founder and CEO of NVIDIA. 鈥淭ogether, NVIDIA and 麻豆原创 will bring custom generative AI to the thousands of enterprises around the world that rely on 麻豆原创 to power their operations.鈥�

Harnessing Business Data and Generative AI to Advance Customer Insights

麻豆原创 and NVIDIA plan to collaborate to integrate generative AI into cloud solutions from 麻豆原创, which include the latest release of the 麻豆原创 Datasphere solution, 麻豆原创 Business Technology Platform (麻豆原创 BTP) and RISE with 麻豆原创.

麻豆原创 plans to build additional generative AI capabilities within 麻豆原创 BTP using NVIDIA鈥檚 generative AI foundry service, featuring AI supercomputing, software and NVIDIA AI Foundation models. These new capabilities are designed to be the basis of 麻豆原创鈥檚 development and deployment of generative AI for customers and is expected to be accessible in the generative AI hub in 麻豆原创 AI Core and 麻豆原创 Datasphere.

Additional generative AI initiatives include:

• New capabilities for the Joule copilot: Joule can leverage (RAG) capabilities built by NVIDIA and 麻豆原创, which can be deployed on leading hyperscalers or 麻豆原创鈥檚 own cloud environments. As a natural-language, generative AI copilot, Joule helps customers unlock the potential in their business by automating time-consuming tasks and quickly analyzing business-critical data to deliver more intelligent, personalized experiences.
• Innovative use cases leveraging 麻豆原创 S/4HANA Cloud, 麻豆原创 SuccessFactors and 麻豆原创 Signavio: 麻豆原创 and NVIDIA are exploring more than 20 generative AI use cases where the companies can combine assets to simplify and enhance digital transformation. Among these are generative AI features that can automate enterprise resource planning with intelligent invoice matching in 麻豆原创 S/4HANA Cloud; improve human resources use cases leveraging 麻豆原创 SuccessFactors; and accelerate new generative AI insights from 麻豆原创 Signavio to better process business recommendations and optimize 麻豆原创鈥檚 customer support processes.
• Unifying AI data sources with 麻豆原创 Datasphere: Built on 麻豆原创 BTP, 麻豆原创 Datasphere enables integration and a unified view of semantically rich 麻豆原创 data with third-party data across the enterprise landscape to help customers adapt faster to market changes and make more efficient and better informed decisions. With 麻豆原创 Datasphere, customers can confidently access a high-quality data fabric using AI and machine learning (ML) models. To accelerate 麻豆原创鈥檚 federated machine learning (FedML) capabilities for 麻豆原创 Datasphere, NVIDIA and 麻豆原创 are facilitating easier access to data for data scientists and enhancing ML workload performance with the support of NVIDIA accelerated computing platforms and NVIDIA AI Enterprise data science software such as 鈩�.
• Using LLMs for the ABAP programming language: To aid developers in creating domain-specific language code, 麻豆原创 plans to use NVIDIA AI foundry services to assist in fine-tuning LLMs. This will build on 麻豆原创鈥檚 use of generative AI models to assist developers who use ABAP through the company鈥檚 ABAP Cloud model and 麻豆原创 Cloud Application Programming model.

NVIDIA AI Enterprise Powers Production-Grade Generative AI Across Cloud Solutions from 麻豆原创

Once models are ready for deployment in cloud solutions from 麻豆原创, 麻豆原创 plans to use NVIDIA AI Enterprise software, including NVIDIA NIM inference microservices and NVIDIA NeMo Retriever鈩� microservices. NVIDIA NIM can be used to accelerate and maximize inference performance across the accelerated infrastructure from 麻豆原创. Using NVIDIA NeMo Retriever microservices, 麻豆原创 plans to add RAG capabilities that enable generative AI applications to more securely access data running on 麻豆原创 software to improve accuracy and insights. Customers can plan to use RAG on both 麻豆原创 and third-party data.

To learn more about the 麻豆原创 and NVIDIA partnership, .

Visit the 麻豆原创 News Center. Follow 麻豆原创 at.

About NVIDIA

Since its founding in 1993, (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company鈥檚 invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at.

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 26 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit .

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit. On this platform, you can find high-resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For further information, contact:
麻豆原创: Scott Malinowski, +1 (617) 538-6297, scott.malinowski@sap.com
麻豆原创 麻豆原创 Room; press@sap.com
NVIDIA: Shannon McPhee, +1 (310) 920-9642, smcphee@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features, and availability of NVIDIA鈥檚 products and technologies, including NVIDIA鈥檚 generative AI foundry service, NVIDIA NIM microservices, NVIDIA DGX Cloud AI supercomputing, NVIDIA AI Enterprise software, and NVIDIA AI Foundation models, NVIDIA accelerated computing platforms, NVIDIA AI Enterprise data science software such as NVIDIA RAPIDS, RAPIDS cuDF and cuML, NVIDIA NeMo Retriever microservices; NVIDIA鈥檚 partnership with 麻豆原创, the benefits and impact of such partnership, and the features and availability of its services and offerings; 麻豆原创 sitting on a gold mine of enterprise data that can be transformed into custom generative AI agents to help customers automate their businesses; and NVIDIA and 麻豆原创 bringing custom generative AI to the thousands of enterprises around the world that rely on 麻豆原创 to power their operations are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2023 Annual Report on Form 20-F.

漏 2024 麻豆原创 SE and NVIDIA Corporation. All rights reserved.

麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

NVIDIA, the NVIDIA logo, DGX, NVIDIA NeMo Retriever, NVIDIA NIM, and RAPIDS are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

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While data may be the fuel powering the engine of AI, it鈥檚 good data that鈥檚 the real game changer. With good data, a company can automate processes — freeing up their people to do the most impactful work — and analyze the most important variables facing their business to create intelligent insights.

That鈥檚 where a datasphere comes in. It makes data more complete and logical by understanding the different relationships within a company鈥檚 data. And that鈥檚 what can truly bring out the best in any business today.

Having a central hub for data is more critical than ever. It allows our customers to better model their business across all 麻豆原创 business applications. That鈥檚 exactly why we introduced 麻豆原创 Datasphere last year to empower businesses with insights they need 鈥� based on the right data 鈥� in the context of their business. Since then, generative AI has disrupted and simplified even more business processes, and data capture is no different. This week we announced new generative-AI features in 麻豆原创 Datasphere that will transform enterprise planning through simplified data landscapes and more-intuitive data interaction.

Why is this important? Because having a unified data view that simplifies the data landscapes while retaining context and logic is what enables businesses to adapt faster to market changes and make better decisions. It鈥檚 also a more efficient way of working. Because while you鈥檙e busy pulling data together, competitors are circling your customers.

I am constantly speaking with our customers about the value of 麻豆原创 Datasphere. It鈥檚 a data architecture that harmonizes mission-critical data across an organization. I hear amazing outcomes they鈥檙e able to achieve: from PwC breaking down silos in the different countries where it stores sensitive data so its workforce can access it more efficiently and securely for customers, to the Lufthansa Group taking data from different parts of its operations like aircraft, HR, and procurement, to see how decisions from one could impact the other.听
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With our additional news this week, such as making our generative AI copilot Joule available in 麻豆原创 Analytics Cloud and expanding our partnership with Collibra to help our customers meet compliance, privacy, and regulatory requirements related to AI as they evolve, we鈥檙e making it easier to find the right data and use it to drive deeper insights, more efficiencies, faster growth, and more trust in their business.

While PwC and Lufthansa show what鈥檚 possible today with a simplified data fabric, imagine what is about to become possible when you infuse it with the power of generative AI that understands your business 鈥� and then learns from that data. This has the potential to deliver exponential value from your data.

Or think of it this way: years ago, the biggest differentiators for businesses were price, location, products, and services. Today, and especially in the years ahead, it could very well be how effectively a business is training their AI models. That鈥檚 why building the right data fabric is one of the most important investments any business can make today.

It鈥檚 been said that the best way to predict the future is to invent it. And in an era where data is being created exponentially, I believe that those businesses that can separate the signal from the noise when it comes to their data will be the ones that invent the future in an AI-first world.

Scott Russell is a member of the Executive Board of 麻豆原创 SE.

鈥淐apturing data to make better decisions is an enterprise technology imperative that鈥檚 become increasingly critical as AI 鈥� which relies on quality data 鈥� revolutionizes every aspect of business,鈥� said Juergen Mueller, 麻豆原创 Chief Technology Officer and member of the Executive Board. “Our newest 麻豆原创 Datasphere innovations, as well as an expanded partnership with Collibra, represent a quantum leap in our ability to help customers drive intelligent business transformations through data.鈥�

At the heart of these announcements is the business data fabric, an architecture that helps ensure data is not just an asset but also the core underpinning of strategic initiatives. The innovations and partnership announced today equip organizations to deliver meaningful data to data consumers 鈥� with business context and logic intact.

“We have decided to leverage 麻豆原创 Datasphere for a modern business data fabric architecture in conjunction with our 麻豆原创 S/4HANA landscape. It allows us to effectively establish a modern data analytics platform that enables a business self service capability on the basis of trusted data and data models,鈥� said Achim Welter, Senior Director ERP, Digital & IT Strategy, Hershey鈥檚.

Today鈥檚 麻豆原创 Datasphere innovations help customers achieve a unified data view that simplifies their data landscapes while retaining context and logic 鈥� enabling them to adapt faster to market changes and make more-efficient decisions. From new copilot and vector database capabilities that help ensure business context remains constant in generative AI outputs to a new knowledge graph that helps uncover insights and patterns in complex data, 麻豆原创鈥檚 data innovations help ensure customers have the full power of their data at their fingertips.

Today鈥檚 key innovations include:

Generative-AI Copilot and AI Governance

麻豆原创鈥檚 generative-AI assistant, the copilot, is now coming to the 麻豆原创 Analytics Cloud solution to automate the creation and development of reports, dashboards, plans and more. This automation is enabled by the 麻豆原创 HANA Cloud vector engine capabilities, which combine the power of large language models with the relevant data of your organization 鈥� helping ensure business context is a constant for generative-AI outputs.

Incorporating generative AI across the business isn鈥檛 possible without trusted and governed data. To provide organizations with a solution to govern the policies, processes and practices of AI, 麻豆原创 is announcing an expansion of our partnership with Collibra to integrate Collibra鈥檚 AI Governance with 麻豆原创 data assets. This can help provide transparency and accountability for organizations and help ensure regulatory, compliance and privacy policies are met.

Discover Hidden Insights and Patterns with Knowledge Graph

With the new 麻豆原创 Datasphere knowledge graph, organizations can discover hidden insights and patterns across their applications and systems. This enables both technical and business users to deeply understand the relationships between data, metadata and business processes, as well as boost the effectiveness of machine learning and large language models.

Unified and Advanced Planning and Analytics

The new 麻豆原创 Datasphere integration with 麻豆原创 Analytics Cloud offers a single data management system and advanced analytics to power cross-organizational planning. Planners can leverage a single flexible model to break down silos between planning using one tool for data preparation, modeling and planning.

Additionally, business users can use the new compass capability in 麻豆原创 Analytics Cloud to realize better outcomes in planning and analytics through data-driven simulation. It enables organizations to run complex simulations using a chat interface to evaluate predictive outcomes and continually adjust controllable variables to find the optimal plan.

This supports customers to transform their planning by unifying financial, operational, supply chain and workforce planning with native connection to 麻豆原创 applications and third-party data.

To learn more, please read: Unleashing the Latest 麻豆原创 Data and Analytics Innovations.

Visit the 麻豆原创 News Center. Follow 麻豆原创 at .

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 26 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit .

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Julia Fargel, +1 (650) 276-8964, julia.fargel@sap.com, PT
Martin Gwisdalla, +49 (6227) 767 275, martin.gwisdalla@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2023 Annual Report on Form 20-F.
漏 2024 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.

Read on to learn more about these transformative announcements, which will enable businesses to unlock new potential in the areas of data management, AI-driven planning, and analytics.

Access Insights Wherever Your Data Resides

麻豆原创 Datasphere Knowledge Graph

麻豆原创 Datasphere knowledge graph will enable organizations to better represent their real-world use of data, leading to more effectively leveraging it for generative AI and better reasoning.

As data is onboarded, transformed, and integrated in 麻豆原创 Datasphere, 麻豆原创 Datasphere knowledge graph automatically creates an ontology representing the relationships in the data, including the inherent business context from 麻豆原创 application sources like 麻豆原创 S/4HANA. This is then available to be extended and augmented via an ontology editor to reflect specific attributes within an organization. Finally, the data in 麻豆原创 Datasphere is automatically applied to this ontology to create a knowledge graph that allows the data to be processed as a semantic web of relationships, drawing new insights from connections that are otherwise difficult to follow.

These knowledge graphs are better suited for answering complex, often open-ended questions. For example, a marketing manager might ask a question like: 鈥淲hat type of campaign for mountain bikes works best for my highest performing cities with a population over 1 million?鈥�

Knowledge graphs can provide better context to large language models (LLMs) and prevent AI-generated 鈥渉allucinations.鈥� 麻豆原创 Datasphere knowledge graph will enable organizations to unleash the power of AI for even the most complex queries.

The effort and cost of manually creating knowledge graphs is typically very high. 麻豆原创 Datasphere knowledge graph overcomes this by pre-populating the knowledge graphs using all the valuable content already available in 麻豆原创 Datasphere. The knowledge graph can then be used with Joule, 麻豆原创鈥檚 generative AI co-pilot, allowing business users to ask both open-ended and specific questions and get instant and well-documented answers. Sign up for a preview of 麻豆原创 Datasphere knowledge graph via the link below.

麻豆原创 HANA Cloud Vector Engine

With the next release of 麻豆原创 HANA Cloud, a vector capability will be added to existing multi-model capabilities, allowing customers to gain value from all relevant types of business data using a single database. The inclusion of a vector engine further enables customers to build that combine the natural intuition of human interaction with powerful machine learning and multi-model processing capabilities.

The vector engine in 麻豆原创 HANA Cloud provides the ability to store and compare vectors using SQL. Determining similarity between vectors enables use cases such as retrieval-augmented generation (RAG), recommendations, classifications, clustering, and more. Key benefits of 麻豆原创 HANA Cloud vector engine include:

• Simplify data architecture and security with a single multi-model database with SQL interaction
• Gain new insights by combining spatial, graph, JSON, and relational data with vector queries
• Easily incorporate vector use cases in solutions based on the HANA Cloud ecosystem (clients, Python libraries, CAP, etc.)
• Integrate with open-source community tools such as LangChain via plug-ins

麻豆原创 HANA Cloud vector engine is currently in public preview and is planned for general availability in late Q1 2024.

Simplified Consumption of Data Products in 麻豆原创 Datasphere

Data products facilitate self-service access to data as a product and enable data sharing across application boundaries. Data consumers need an easy way to explore, understand, and activate the data needed to perform their tasks 鈥� and data providers need an easy way to publish their assets and make them available to data consumers.

麻豆原创 is innovating in this space with an improved user experience that drives data sharing at scale. This starts with published data products, whether produced by 麻豆原创 line-of-business applications, industry solutions, or third parties, and follows with simple consumption in 麻豆原创 Datasphere.

In 麻豆原创 Datasphere, customers will find ready access to 麻豆原创 and non-麻豆原创 data products and easily install them into their 麻豆原创 Datasphere instance. The procedure establishes relevant connections and creates the necessary artifacts in 麻豆原创 Datasphere without the user having to enter those details. Key to this is making data provisioning easier via metadata, which are described via the Open Resource Directory (ORD) protocol. The experience will be harmonized within 麻豆原创 Datasphere by bringing catalog and the data product installation closely together. Visit for the latest updates.

麻豆原创 Datasphere Semantic Onboarding Enhancements

Semantic onboarding provides a seamless import of semantically rich objects from 麻豆原创 S/4HANA and 麻豆原创 BW/4HANA into 麻豆原创 Datasphere. Now, we are taking the next step by adding support for 麻豆原创 HANA Cloud and 麻豆原创 data products through the same unified onboarding experience.

Customers will be able to combine their 麻豆原创 HANA Cloud modeling approach with 麻豆原创 Datasphere by importing calculation views into the data layer of 麻豆原创 Datasphere. This preserves the semantic information such as measures, attributes, hierarchies, aggregations, and currencies/units, while keeping 麻豆原创 HANA Cloud and 麻豆原创 Datasphere objects in sync — allowing customers to leverage their prior investments in 麻豆原创 HANA modeling.

Likewise, semantic onboarding of 麻豆原创 data products will enable inheritance of business context from 麻豆原创 line-of-business applications and industry solutions. By providing the semantics of the source systems and transferring that into the business data fabric as a foundation, 麻豆原创 Datasphere drastically improves the analytic workflow and accelerates and simplifies data-driven insights.

Collibra AI Governance Integration with 麻豆原创 Solutions

The 麻豆原创 and Collibra partnership enables end-to-end data governance and delivers trusted data to all users across the business data fabric. As more tasks and decisions are automated by AI within critical business processes, the need to extend governance to AI has also become apparent.

The partnership with Collibra is being expanded to address the data and AI governance needs of joint customers via Collibra AI Governance. We will build tailored integrations between Collibra AI Governance and 麻豆原创 solutions to connect the data used for AI with the models themselves in a single platform, allowing enterprises to track and manage their AI development efforts.

• Customers will better understand data lineage and metadata of 麻豆原创 data that is utilized in AI modeling. With that, users can see what data their AI models were trained on to ensure that the data is accurate and from a trusted source.
• Customers will benefit from a single view to understand what AI models exist in their organization, and what data is being used to power them. AI/machine learning models created with 麻豆原创 technology will be registered with the Collibra AI Governance platform.

This extension of the 麻豆原创 partnership with Collibra will increase transparency and accountability for organizations, and help ensure that regulatory, compliance, and privacy policies are being met. More importantly, it will build user trust by preventing biased decision-making, inaccurate recommendations, and other risks arising from AI.

Together, 麻豆原创 and Collibra will help joint customers address the data and AI governance needs across their organizations. Collibra AI Governance was and is available to interested customers.

麻豆原创 Datasphere Confluent Integration

Core to the 麻豆原创 data strategy is providing customers with the ability to interoperate with the world鈥檚 leading data and AI vendors through an open data ecosystem. To this end, the newly enhanced Confluent integration enables real-time streaming of data to and from 麻豆原创 Datasphere.

First, the outbound capabilities were extended by taking advantage of Confluent鈥檚 proprietary schema registry capabilities. Second, the Confluent schema registry will be used to enable seamless consumption of Confluent data within 麻豆原创 Datasphere.

The integration is specifically tailored to Confluent and provides a superior user experience for joint customers. It allows connections on the application level without additional custom application development. The integration is a pre-established replication flow in 麻豆原创 Datasphere, which already includes delta and real-time processing natively. This makes the process very efficient as it does not force customers to load all the data at every step, but only when data has changed.

The first integration for data ingestion into Kafka and Confluent is generally available. Additional capabilities for Confluent specific outbound and inbound integration will be generally available at the end of Q1 and Q3, respectively.

Transform Planning with a Business Data Fabric

麻豆原创 Analytics Cloud for Planning Deep Integration to 麻豆原创 Datasphere

麻豆原创 Datasphere and 麻豆原创 Analytics Cloud for planning will be more closely integrated to expand the business data fabric to planning use cases. 麻豆原创 Analytics Cloud planning models can be deployed into 麻豆原创 Datasphere, bringing plan and actuals data together for real-time steering.

Through a reduction in both data footprint and modeling efforts, 麻豆原创 Analytics Cloud extends planning functionality via 麻豆原创 Datasphere and its native capabilities for transformation and integration. This reduces the complexity and risk inherent in storing multiple copies of data which is prevalent today.

麻豆原创 Analytics Cloud for planning will have live access to actual and plan data for extended planning and analysis scenarios, including the live usage of master data. With this, 麻豆原创 Datasphere will become the platform on which planning processes and tools can integrate.

麻豆原创 is the only vendor to offer a business data fabric that seamlessly integrates planning and therefore covers the entire technology stack required to transform data into insights and future actions. Visit for the latest updates.

Foster Trusted AI Across Your Business

麻豆原创 Analytics Cloud Generative AI Co-Pilot

麻豆原创 customers will embrace the power of generative AI to create and simulate business plans in 麻豆原创 Analytics Cloud. With the power of Joule, planning and analytics professionals can leverage generative AI capabilities in a wide range of business processes. Activities such as data discovery, dashboard creation, planning model maintenance, and more are benefitting from a boost in core capabilities and an unmatched user experience.

With the power of natural language processing, end users can easily run analytical queries, simulate driver impacts, plan resource allocations, and auto-generate dashboards and calculations. For example, a business user seeking to understand why gross margins declined in the latest version of a plan could query Joule, which could automatically look through previous plan iterations and attached comments, and uncover the fact that planners were estimating higher commodity costs.

麻豆原创鈥檚 investment in AI and its understanding of the context of business data provides truly limitless potential in unleashing the world of planning and analytics.

A preview of Joule co-pilot functionality in 麻豆原创 Analytics Cloud is planned to be available in Q2 2024. Sign up for the preview via the link below.

麻豆原创 Analytics Cloud Compass

In an increasingly volatile business climate, it is essential to create operational and financial plans and provision BI insights with risk mitigation in mind. This requires the ability to simulate uncertainties and the probability of their impact. Knowing how uncertainties in commodity prices, labor costs, or production volumes will hit your operational expenses or revenue means that companies can quickly prepare and plan counter measures for any scenario.

麻豆原创 Analytics Cloud compass provides Monte Carlo simulation capabilities with a business user-friendly interface. This enables non-technical users to perform real-time multi-variate analysis without prior IT setup or advanced statistical skills.

Users can perform business simulations directly in 麻豆原创 Analytics Cloud at a fraction of the time and effort required to perform similar analysis manually. Scenario modeling capabilities will allow comparisons between assumptions, and the reporting of impact variances provides real-time insight, concept validation, and reveals the sensitivity of the drivers chosen. Now customers can identify their major drivers and combinations over time, enabling a better understanding of the dynamics between the data, and how to continuously simulate better and faster. With compass, customers can face the future with confidence.

A preview of 麻豆原创 Analytics Cloud compass is planned to be available at the end of Q3 2024. Sign up for the preview via the link below.

Get Started Today

Begin your path toward unlocking the full potential of your business data with 麻豆原创 Datasphere. Embrace the opportunity to seamlessly integrate and activate your data landscape, propelling your business into a new era of insights and efficiency. Start now and transform how your organization leverages data with 麻豆原创 Datasphere.

Start your journey today to bring out your best with 麻豆原创 data and AI:

•  with the 30-day guided experience.
• with a free assessment and special offers.
• with the Total Cost of Ownership study and getting started package
• of the upcoming 麻豆原创 Datasphere and 麻豆原创 Analytics Cloud features

Irfan Khan is chief product officer and president for 麻豆原创 HANA Database & Analytics.

It鈥檚 never been easier to connect, unify, and manage 麻豆原创 and third-party data. That鈥檚 why industry leaders such as Porsche, Hanes, and Bosch are using 麻豆原创 Datasphere to enable self-service access to trusted business data across any cloud infrastructure.

Today, our mission continues at our virtual event. We鈥檙e taking another step forward to enable organizations to bring out their best with data and AI. 

Access Insights Wherever Your Data Resides

With many data landscapes distributed across different siloes in the cloud and on premises, organizations require an integrated approach that unifies their underlying data landscapes. This is made possible with 麻豆原创 Datasphere, which enables a business data fabric architecture. By providing seamless and scalable access to all data without duplication, data and planning professionals can securely access all their data no matter where it resides.

In fact, organizations seeking to implement a business data fabric architecture can save up to 138% using 麻豆原创 Datasphere compared to third-party implementations.

At 麻豆原创, we understand that a critical capability in the era of AI is to understand the real-world use of business data. With decades of experience helping organizations run mission-critical business processes, we see firsthand the power business data has in determining optimal business performance.  

To make this possible, we鈥檙e excited to announce the 麻豆原创 Datasphere knowledge graph. This capability enables organizations to discover hidden insights and patterns across their applications and systems. And it empowers both technical and business users to deeply understand the relationships between data, metadata, and business processes, as well as boost the effectiveness of machine learning and large language models (LLMs).  

Transform Planning with a Business Data Fabric

麻豆原创 connects people and enterprise planning more powerfully than ever before. Now any organization can transform planning by unifying financial, operational, supply chain, and workforce planning through a business data fabric architecture.听听

The new 麻豆原创 Datasphere integration with 麻豆原创 Analytics Cloud offers a single data management system and advanced analytics to power cross-organizational planning. Planners can leverage a single flexible model to break down silos between planning with one tool for data preparation, modeling, planning, and analytics and to conduct thorough analysis, understand the broader context, and make more informed decisions. 

Additionally, business users can use the new 麻豆原创 Analytics Cloud compass to realize better outcomes in planning and analytics using Monte Carlo simulation. This enables organizations to run complex simulations via a chat interface to predict possible outcomes and find the optimal plan. 

Foster Trusted AI Across Your Business

We鈥檙e bringing the power of generative AI to planning and analytics with 麻豆原创 Analytics Cloud, which provides AI-generated data exploration, automation of planning and data management tasks, and deep analysis with Joule copilot. This is enabled by vector capabilities in 麻豆原创 HANA Cloud that combine the powerful capabilities of LLMs with all the relevant data of your organization 鈥� ensuring business context is a constant for generative AI outputs.

Incorporating generative AI across an organization is not possible without trusted and governed data. To provide customers with a solution to effectively manage data and AI policies, processes, and life cycles, we are excited to announce the expansion of our partnership with Collibra. Beyond the integration between 麻豆原创 Datasphere and Collibra announced last year, we will now work together to integrate Collibra鈥檚 AI Governance platform with 麻豆原创 data and analytics solutions. 

Get Started Today 

Start your journey today to bring out your best with 麻豆原创 data and AI:

• 鈥痺ith the 30-day guided experience 
• with a free assessment and special offers 
• with the Total Cost of Ownership study and getting started package

JG Chirapurath is chief marketing and solutions officer for 麻豆原创 BTP.

麻豆原创 Datasphere can offer that path. Its native connectivity to 麻豆原创 BW means customers can reuse up to 80% of existing 麻豆原创 BW content, retaining value while adding cloud speed, scale, and interoperability and avoiding costly and unnecessary rework. 

Delivering meaningful data to every data professional requires a comprehensive cloud data service. With 麻豆原创 Datasphere, organizations can:  

• Access authoritative data, accelerating time-to-value by automatically reusing the semantical definitions and associations from 麻豆原创 applications.  
• Enrich all data projects, harmonizing heterogeneous data into a business semantic model of their diverse data landscapes.   
• Simplify the data landscape, accessing all their data across hybrid and cloud environments no matter where it resides. 

麻豆原创 has also partnered with an open data ecosystem of leading technology vendors to provide tailored integration between 麻豆原创 Datasphere and their solutions. The first set of industry-leading data and AI vendors includes Collibra, Confluent, Databricks, DataRobot, and Google Cloud. By closely integrating their data and AI platforms with 麻豆原创 Datasphere, organizations can access their mission-critical business data across any cloud infrastructure. 

Flexible Paths to the Cloud  

Many 麻豆原创 BW users have always-on projects that depend on 麻豆原创 BW data and objects, which requires flexibility in modernizing to the cloud.  

麻豆原创 offers flexible paths. Whether you’re moving directly or integrating 麻豆原创 Datasphere as part of your data landscape to enhance your 麻豆原创 BW deployment, there’s a strategy:  

• Gradually transition functionality over time using to reuse and integrate 麻豆原创 BW objects. 
• Leverage 麻豆原创 BW data ingestion and staging to accelerate the move or, for 麻豆原创 Business Suite customers without 麻豆原创 BW, move directly to 麻豆原创 Datasphere. 
• In some cases, migrate 麻豆原创 BW systems to 麻豆原创 Datasphere for a complete transition. 
• Modernize with a combination of 麻豆原创 Datasphere and 麻豆原创 HANA Cloud to benefit from the capabilities of both solutions. 麻豆原创 Datasphere can provide the foundation for a business data fabric, while 麻豆原创 HANA Cloud enables the development of intelligent data applications.   

The goal is to provide options to fit each customer’s unique environment and timeline. With the right approach, the move to 麻豆原创 Datasphere can be straightforward while optimizing previous investments. 

Our experienced 麻豆原创 partners understand the importance of flexible paths. They work with our customers to outline customized modernization paths that can safeguard their technology and fit their goals.

鈥淲e are excited to help 麻豆原创 BW customers experience the power of 麻豆原创 Datasphere. We鈥檝e already seen multiple customers take this modernization approach and it鈥檚 the ideal modernization path to protect the customer鈥檚 existing 麻豆原创 BW investments.鈥�

Deepu Sasidharan, Vice President, Analytics, Applexus

No matter which path a customer takes, they can always progress to 麻豆原创 Datasphere. Technically, this can be achieved with the support of 麻豆原创 Datasphere, 麻豆原创 BW bridge and modernization tools. That鈥檚 why customers like chose 麻豆原创 Datasphere.

鈥溌槎乖� Datasphere, 麻豆原创 BW bridge is a complete game changer. The cloud architecture allows us to simplify our landscape. We are also seeing significant improvements in our performance.鈥�

Iaroslav Korzh, 麻豆原创 Technology Manager, Nipro Europe Group Companies 

New Professional Readiness Assessment 

Whether you鈥檙e starting fresh or modernizing an existing system, having a solid plan is key for a successful move to the cloud. 

麻豆原创 is now offering a limited-time, complimentary 麻豆原创 BW system assessment to help you optimize your transition to 麻豆原创 Datasphere. Through this assessment, you can gain insight into your 麻豆原创 BW environment and learn which objects are active and frequently used and whether they can be migrated.  

This assessment helps deliver a reliable basis for an actionable modernization plan. With the right information, you can modernize on your terms. Get started today by applying for your complimentary . 

Get Started  

Visit our for the latest modernization tools, including our , , and .听

麻豆原创 BW customers moving to 麻豆原创 Datasphere may also qualify for exclusive incentives. Contact your 麻豆原创 representative before this limited-time opportunity expires. 

Daniel Yu is senior vice president of Solution Management and Product Marketing for 麻豆原创 Data and Analytics.

To achieve true digital transformation, organizations must have seamless access to their mission-critical business data no matter where it resides. Yet with data landscapes distributed among different applications and systems both in the cloud and on premises, organizations spend countless resources extracting, rebuilding, and integrating their data.

By leveraging the right data integration tools and strategies, organizations can easily discover, connect, integrate, govern, and orchestrate their data assets. Data integration offerings from 麻豆原创 deliver trusted, relevant, and timely information to enable customers to simplify their data landscape and unleash the power of business data. Our primary solutions include , Cloud, , and . These offerings are part of (麻豆原创 BTP).

Gartner evaluated 21 vendors and named 麻豆原创 a Leader based on our 鈥渁bility to execute鈥� and 鈥渃ompleteness of vision.鈥� We believe this recognition serves as acknowledgment of 麻豆原创鈥檚 continued commitment to providing our customers with world-class data integration tools.

Unleash the Power of Business Data

Data integration is necessary for customers to gain intelligent, relevant, and contextual insights for better decision-making. However, without the right data management approach and technology, companies can face an uphill battle in integrating, processing, curating, governing, and augmenting their data.

麻豆原创 takes a business data fabric approach, which goes beyond a traditional data fabric. A business data fabric is a data management architecture that delivers an integrated, semantically rich data layer over underlying data landscapes to provide users with scalable access to their data without duplication.

It eliminates the need to recreate the business context that was lost from extracting and replicating data. This gives users the ability to accelerate their decision-making with trust and confidence, knowing they always have the complete picture of their data regardless of where it is stored or how it was designed.

麻豆原创 Datasphere 鈥� and its open data ecosystem 鈥� is the foundation for a business data fabric. It equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. 麻豆原创 Datasphere helps customers:

• Access authoritative data: Accelerate time-to-value by automatically reusing the semantical definitions and associations from 麻豆原创 applications
• Enrich all data projects: Harmonize heterogeneous data into a business semantic model of diverse data landscape
• Simplify the data landscape: Access all data across hybrid and cloud environments no matter where it resides

With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization, 麻豆原创 Datasphere enables data professionals to easily distribute authoritative business data 鈥� with business context and logic preserved 鈥� across the data landscape.

Since the launch of 麻豆原创 Datasphere, we have seen tremendous growth of customers innovating with this technology. For example, Messer CIO David Johnston describes his experience with the solution this way:鈥淭he business data fabric architecture enables us to bring 麻豆原创 and non-麻豆原创 data together in the seamless and self-service way we’ve been envisioning. 麻豆原创 Datasphere provided us with a solution to build a harmonized layer, or business data fabric, across 麻豆原创 and non-麻豆原创, cloud or on-premise data sources, making the best use of our existing investments in 麻豆原创, Microsoft Azure, Salesforce, and Oracle.鈥�

Next Steps

For over 16 years, data integration tools from 麻豆原创 have enabled our customers to turn disjoined data assets into actionable business insights at scale. Take the next step and begin your business data fabric journey today:

• Visit the
• Try the free
• Read the

Kaiser Larsen is vice president of Data and Analytics at 麻豆原创.

Gartner, Magic Quadrant for Data Integration Tools, Ehtisham Zaidi, Robert Thanaraj, Sharat Menon, Thornton Craig, Roxane Edjlali, Michele Launi, 4 December 2023
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

In the third quarter of 2023 alone, our customers spanned all shapes, sizes, and industries 鈥� including consumer products, biotechnology, and the public sector 鈥� and proved how much momentum is behind the cloud revolution.鈥�� 

Whether simplifying business operations, adopting innovative solutions, or leading broader cloud transformations, it鈥檚 clear that today鈥檚 top enterprises see 麻豆原创 as a premier partner in driving positive outcomes and lasting change. This is, in no small part, because the future of technology 鈥� which includes things like generative artificial intelligence (AI) 鈥� is all about data. And 麻豆原创 knows data.

We are powering today鈥檚 鈥� and tomorrow鈥檚 鈥� leading businesses with offerings like GROW with 麻豆原创, our public cloud enterprise resource planning (ERP) offering for midsize companies; , a comprehensive solution built to help unleash the power of business data; (麻豆原创 BTP), a foundation for continued innovation; and much more.

From net-new growth companies embracing GROW with 麻豆原创 to large municipalities going live on RISE with 麻豆原创, thousands of organizations continue to turn to 麻豆原创 to help power their digital transformations. Some organizations that kicked off their digital transformations this quarter include:

• Northstar Clean Technologies, a Canadian-based clean technology company focused on the sustainable recovery and reprocessing of asphalt shingles, selected GROW with 麻豆原创. As an emerging innovator in sustainable processing, Northstar Clean Technologies expects that 麻豆原创 S/4HANA Cloud, public edition will help streamline its current business processes, as well as serve as a foundational ERP that can support its growth and scale with it.
• Leanin鈥� Tree, which ships more than 20 million greeting cards per year featuring original artwork by independent artists from around the world, selected 麻豆原创 S/4HANA Cloud, public edition and 麻豆原创 Datasphere, among other solutions. Through GROW with 麻豆原创, Leanin鈥� Tree will be migrating from 麻豆原创 ERP Central Component (麻豆原创 ECC) and is aiming to fully transform and optimize its financial processes while adopting an 鈥渙ut-of-the-box鈥� approach that incorporates 麻豆原创 best practices.
• PureTech Scientific, which was formerly Chemours Glycolic Acid Division and is a global leader in organic synthesis of ultra-high purity alpha hydroxy acids for the life sciences and specialty chemical industries, selected GROW with 麻豆原创, among other 麻豆原创 solutions. Through 麻豆原创 S/4HANA Cloud, public edition, PureTech Scientific is aiming to adopt a cloud ERP that can not only meet the requirements of today, but of the future. GROW with 麻豆原创 enables PureTech Scientific to have a solution that is ready-to-run while also offering scalability, the delivery of continuous innovation, and support of PureTech Scientific鈥檚 growth ambitions.
• Phoenix Global, a provider of steel mill services to steel producers worldwide, selected GROW with 麻豆原创. By adopting 麻豆原创 S/4HANA Cloud, public edition through GROW with 麻豆原创, Phoenix Global is aiming to get a ready-to-run cloud ERP that can deliver the latest best practices and continuous innovation. Through 麻豆原创, Phoenix Global is aiming to accelerate its digital transformation and further improve its operational processes.
• Graybar, a leading North American distributor of electrical, communications, data networking, and industrial products, selected RISE with 麻豆原创. By using 麻豆原创, Graybar expects to simplify its processes, improve its efficiency, and enhance its customer service capabilities.

We鈥檙e also seeing many customers harness the power of their data with solutions like 麻豆原创 Datasphere and 麻豆原创 Sustainability Control Tower, which can create reliable and authentic sustainability data. Some customers that chose other 麻豆原创 solutions in Q3 include:

• Adobe, a global leader in digital media and digital marketing solutions, will be leveraging 麻豆原创 Datasphere and 麻豆原创 HANA Cloud within 麻豆原创 Business Technology Platform to help optimize its data strategy while also improving efficiency and business value by reducing complexity and cost.
• Fluence Energy, which is a global market leader in energy storage solutions and services and optimization software for renewables and storage, selected the RISE with 麻豆原创 solution and 麻豆原创 Sustainability Control Tower, among other solutions. By using 麻豆原创, Fluence Energy is aiming to scale faster, gain better visibility into its supply chain, and improve overall efficiency.

And it鈥檚 not just customers starting their journey with 麻豆原创: Q3 also saw a number of organizations go live on their 麻豆原创 solutions, an incredible step towards realizing value from their transformation. Some examples include:

• The City of Vancouver, located in British Columbia, Canada, went live on 麻豆原创 S/4HANA Cloud, private edition via RISE with 麻豆原创. By using 麻豆原创 S/4HANA Cloud, the City of Vancouver expects to be able to adopt innovation quicker, in addition to simplifying its digital landscape and improving overall efficiency.
• Gilead Sciences, a biopharmaceutical company that has pursued and achieved breakthroughs in medicine for more than three decades with the goal of creating a healthier world for all people, went live on 麻豆原创 Ariba solutions, including 麻豆原创 Business Network. In addition to creating a globally connected platform that allows its suppliers and buyers to collaborate, 麻豆原创 Ariba solutions are helping Gilead Sciences streamline its global procurement process.

This is just the tip of the iceberg, and we鈥檙e not done yet. We鈥檙e continuing to invest in the innovations that will deliver growth, value, and success to our customers around the world 鈥� and that will continue to support our customers鈥� transformations here in North America.

Lloyd Adams is president of 麻豆原创 North America.

The truth is that clean water doesn鈥檛 just magically appear. Rather, it is an incredibly complex system of pipes, storage and purification processes, and organizations that sit almost completely out of sight and mind. For most people, data isn鈥檛 the first thing that comes to mind when turning on the tap. However, ensuring global water supply and accessibility is increasingly relying on the Internet of Things (IoT), data analytics powered by artificial intelligence (AI) and machine learning, cloud-based data solutions, and blockchain technologies.

麻豆原创 partner and global tech company is tackling the problem of water scarcity by introducing HCLTech . With real-time tracking and analysis, AquaSphere enables sustainability managers to implement water conservation measures such as rainwater harvesting and to identify clean water wastage, ensuring cost-effective and environmentally responsible water practices.

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鈥淲ith AquaSphere, we want to empower organizations to reach their water sustainability goals,鈥� says Ajay Pasuvula, vice president and head of 麻豆原创 Ecosystem at HCLTech. 鈥淪ustainability officers benefit from a comprehensive view of water-related data and insights that can accelerate decision-making and optimize the water value chain.鈥�

Trust and Transparency Through Smart Contracts

The technical foundation of HCLTech AquaSphere consists of for harmonized access to mission-critical business and sensor data along with that helps to connect organizations in a secure and compliant network. We can imagine 麻豆原创 Blockchain Business Connector like a complex system of pipes that can transform business flows by facilitating transparent, compliant, and verifiable collaborations between companies, institutions, and individuals in decentralized ecosystems. Built on (麻豆原创 BTP), 麻豆原创 Blockchain Business Connector can provide an event-driven approach for integrating business applications with smart contracts, which are jointly agreed-upon cross-company business rules and transactions that are securely registered in the blockchain network.

For AquaSphere, using smart contracts has increased the efficiency of verifying information in cross-enterprise scenarios, allowing its users to anticipate and adapt to changes faster than ever before. For example, it has enabled safety tests to be recorded as tamper-proof, verifiable data that can be shared between cities, states, federal governments, consumers, and private companies with a few clicks and fully compliant with local legislation.

AquaSphere also offers innovative mechanisms for organizations to compensate for their water consumption, by investing in local water conversation projects initiated by governments, utilities, or NGOs for example. Leveraging a blockchain-based certification system, AquaSphere provides verifiable proof of these offsetting efforts, empowering organizations to become water-positive. This approach increases the resilience of water systems to the adverse effects of climate change.

The decentralized, modular components of 麻豆原创 Blockchain Business Connector help give 麻豆原创 partners such as HCLTech the flexibility to realize blockchain-enabled features without having to understand what鈥檚 underneath. This means little blockchain knowledge is necessary to leverage public blockchain networks and smart contracts with a user-friendly experience for application developers. At the same time, it enables users to create actionable insights based on blockchain data through dashboards in .

Collaboration Across Companies with Blockchain

鈥淏lockchain is critical to share trusted information across the ecosystem. This is a prerequisite to manage the water value chains, where typically multiple parties are involved,鈥� says Pasuvula. 鈥溌槎乖� Blockchain Business Connector enables the collaboration between these parties by providing transparent, compliant, automated, and verifiable transactions according to defined business rules. The integration with 麻豆原创 BTP makes it easier for our customers to access this exciting innovation and further evolve the solution in the long run.鈥�

Decentralized technologies such as 麻豆原创 Blockchain Business Connector have enormous potential to help improve cross-company collaboration in heterogeneous networks. They are particularly beneficial in areas such as supply chain management and life sciences, where verifiable and transparent data along complex value chains is increasingly important for risk management, compliance, or legal requirements.

To find out more about 麻豆原创 Blockchain Business Connector, get in touch with us at icn@sap.com.

Benjamin Stoeckhert is a senior business development manager at 麻豆原创.

The company, headquartered in Helsinki, Finland, does not shy away from , including plans to realize over a half-billion euros in revenue from biobased products by 2030. With an eye on the future, the company adopted a strategic perspective of digital transformation, one that would not only enable business continuity but create a platform of innovation. 

As of June 1, 100% of Kemira is live on 麻豆原创 S/4HANA, a transformation which also included a platform update into Azure Cloud. Kemira did not stop there. It introduced 麻豆原创 Datasphere for reporting where the company is on a journey to adopt a next-generation core enterprise data warehouse solution. On the front-end, Kemira has implemented 麻豆原创 Analytics Cloud for reporting, analytics, and financial planning. In addition, over 360 interfaces have been converted to 麻豆原创 Business Technology Platform (麻豆原创 BTP), leveraging 麻豆原创 Integration Suite. All in, the digital program consisted of five initiatives, including an 麻豆原创 S/4HANA transformation, a redesign of financial accounting, an enterprise data warehouse implementation, a digital data excellence initiative, and a migration of the on-premise interfaces.听

Kemira appropriately called the program LEAP, a representation of the investment it was making in the future of its company and the ambitious timeline and scope of the effort. Innovation played a central role, considering how the company could enable the business with new technology and ultimately drive the business to operate more efficiently. It was no small feat that the very successful big-bang go-live, including a move to Azure, was done in 15 months. Kemira worked with cbs Corporate Business Solutions on this journey, a strategic partner of the company for over a decade.

The approach to the program was to do a selective data transition from Kemira鈥檚 麻豆原创 ERP Central Component (麻豆原创 ECC) system to 麻豆原创 S/4HANA. To initiate the project, the team did a comprehensive pre-study to determine what processes to migrate to 麻豆原创 S/4HANA as-is, which new processes will be enabled, and what new capabilities will be delivered. This approach helped balance the focus and scope of the project, a key element of driving fast value. For example, by leveraging some processes as-is, the team was able to focus on new capabilities like the 麻豆原创 S/4HANA margin analysis, delivering tangible business results. The work paid off with a very smooth go-live, which covered 400 plants in 37 countries to ensure business continuity, and was enabled by the strong collaboration of many talented people at Kemira and cbs.听 听

鈥淐onsidering the extreme complexity of the organizational change, data harmonization and optimization, ONE Finance transformation, migration of interfaces, and innovations in the cloud, we managed the program extremely well. We successfully completed the transition to a completely new platform in just 15 months. The fast value approach was the key to success. cbs had the right methods and tools to make sure the ambitious project was successful. Our in-house experts know the Kemira world and the company鈥檚 processes inside out, so it was the perfect combination,鈥� explains Podbereznyj.听

For Kemira, cloud readiness is about being future-oriented. It made a deliberate decision to implement a fast transformation to stay ahead of the competition. The team rightly sees this work as pioneering next-generation 麻豆原创 business architecture, which also builds on Kemira鈥檚 early success with 麻豆原创 solutions, including 麻豆原创 Integrated Business Planning for Supply Chain. Data has been at the heart of this program and will continue to steer the company as the foundation for innovation and insights. Cloud readiness is about delivering value-based transformation to the business. This means supporting new digital business models, enabling new levels of agility, and becoming more competitive in the market.听 听听听听听

鈥淜emira has made the leap to the cloud and has digitized its entire process world. The company is now ideally positioned for the future. With the implemented platform, the company can take advantage of all follow-on 麻豆原创 developments and remain at the cutting edge of technology. This gives it a clear, innovative lead over other companies that may not reach this stage of development for another five years,鈥� says cbs CEO Rainer Wittwen.听

The relationship with cbs Corporate Business Solutions has been built on this holistic approach, translating strategy to business transformation. The teams recognize this does not happen overnight and even with a successful implementation behind them, transformation requires a continuous mindset of innovation. For Kemira and cbs, this journey continues as the company looks to take advantage of the new technology and execute on its commitment to its customers. For Kemira, this is about delivering 鈥�.鈥� The investment in 麻豆原创 and new business technology is about enabling this vision and fueling profitable growth with connected business models, data-driven decision-making, and integrated business processes.

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Matt Reymann is global VP for Chemicals Industry Business Unit at 麻豆原创.

• New Industry and Sustainability Solutions Will Generate Insights That Help Transform Business Decision-Making

The companies will combine their integrated open data cloud using the 麻豆原创 Datasphere solution with Vertex AI to launch new generative AI-powered industry solutions starting with automotive and introduce new capabilities to help customers improve sustainability performance.

The new solutions build on a long-term, strategic partnership between 麻豆原创 and Google Cloud to help enterprise customers accelerate their digital transformations and optimize value from business-critical data. Google Cloud is a strategic partner for the RISE with 麻豆原创 solution and to-date counts many leading enterprise companies as joint customers. By integrating generative AI into 麻豆原创 software and Google Cloud鈥檚 open data cloud, customers can deploy powerful new solutions that use information from 麻豆原创 Datasphere and from virtually any other data source to significantly improve business insights, analysis, and decision-making.

The open data cloud integrations between 麻豆原创 software and Google Cloud will provide a rich foundation for AI development that will help deliver new value for joint customers, beginning with those in the automotive and sustainability spaces:

• Enhancing connectivity and customer experiences within the automotive industry: 麻豆原创 and Google Cloud will launch new solutions that use Google Cloud鈥檚 generative AI models via Vertex AI and data from , the open data ecosystem supported by 麻豆原创 software for the automotive industry. With Catena-X, automotive companies can securely exchange data about their entire value chains to increase operational performance, enhance customer experiences and accelerate innovation. With this new solution, automotive customers can combine data sets from Catena-X with 麻豆原创 software data to build and train generative AI models that optimize their work with automobile manufacturers, suppliers and end customers. For example, by enabling more effective data sharing, generative AI can help identify and mitigate potential vehicle problems before they cause recalls, improve safety through increased knowledge about hazardous road and traffic conditions and increase product quality by predicting defects better.
• Increasing enterprise sustainability: 麻豆原创 and Google Cloud customers can utilize Vertex AI together with 麻豆原创 Datasphere to create generative AI solutions that accelerate companies鈥� sustainability programs. The new AI-powered functionality available soon to 麻豆原创 customers on Google Cloud will help organizations combine mission-critical business data in 麻豆原创 Datasphere and the solution with third-party ESG data sets and Google Cloud鈥檚 powerful generative AI models. As a result, businesses will be able to create bespoke sustainability reports, automate AI-powered sustainability alerts throughout the supply chain and enhance decision-making with deeper analyses on environmental impact and financial benefits, among other things.

鈥淥ur partnership with Google Cloud is quickly evolving to incorporate generative AI. For this purpose, we utilize our expansive joint data cloud to transform business decision-making and improve productivity, leveraging the potential of 麻豆原创 Datasphere built on 麻豆原创 Business Technology Platform,鈥� said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 麻豆原创 SE. 鈥淲ith 麻豆原创 Business AI offerings, we build systems of intelligence with three core principles: they are relevant, reliable and responsible. Customers will not only benefit from AI already embedded across our business solutions, but also from a unified, open data foundation and additional AI capabilities from Google Cloud.鈥�

鈥淕oogle Cloud and 麻豆原创 will provide joint customers with generative AI capabilities that have a tangible impact on day-to-day work and create real-world value for their businesses,鈥� said Kevin Ichhpurani, Corporate Vice President of Global Partner Ecosystem & Channels, Google Cloud. 鈥淭hrough our open data and AI partnership with 麻豆原创, we will apply generative AI to enable customers to get significantly more value from information stored on 麻豆原创 systems and third-party data sets, helping companies operate more safely and enterprises run more sustainably.鈥�

As part of this expanded partnership, which includes a new and growing portfolio of generative AI solutions, 麻豆原创 and Google Cloud aim to create responsible AI experiences by delivering generative AI solutions for business with the highest levels of concern for security, privacy, compliance and ethics. For years, customers have trusted 麻豆原创 and Google Cloud to build and run powerful and trustworthy solutions, including AI that touches their most vital data and systems. To learn more about the partnership between 麻豆原创 and Google Cloud, attend one of the many customer sessions at .

Visit the 麻豆原创 News Center. Follow 麻豆原创 at .

About Google Cloud

Google Cloud accelerates every organization鈥檚 ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google鈥檚 cutting-edge technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 26 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit .

Note to editors:
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For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Scott Malinowski, +1 (617) 538-6297, scott.malinowski@sap.com, ET
麻豆原创 麻豆原创 Room; press@sap.com
Ryan Styrk, +1 (628) 400-7387, styrk@google.com, PT

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2022 Annual Report on Form 20-F.
漏 2023 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.

麻豆原创 data and analytics solutions were recognized with the following 2023 Best Of awards:

• in the Cloud Data Warehouse market category
• in the Predictive Analytics, Business Intelligence, and Corporate Performance Management market categories
• in the Embedded Database, Database-as-a-Service (DBaaS), Data Virtualization, In-Memory Databases, and Relational Databases market categories

Unleash the Power of Business Data with 麻豆原创 Datasphere

is a comprehensive data solution that can enable every data professional to deliver seamless and scalable access to mission-critical business data. It can provide a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization.

In a recent review, a TrustRadius customer described 麻豆原创 Datasphere as 鈥渆legant and robust.鈥� They went on to say that 麻豆原创 is 鈥渆xcellent at ensuring data integrity by eliminating duplications鈥� and that 麻豆原创 Datasphere can 鈥渉andle large volumes of data at ease [and] the efficiency of data virtualization makes modeling easy.鈥� Read more of the review .

Build Intelligent Data Applications with 麻豆原创 HANA Cloud

is a modern database as a service powering the next generation of intelligent data applications 鈥� self-learning and self-adapting applications that leverage built-in analytical and operational database capabilities to provide new experiences. 麻豆原创 HANA Cloud can empower users to build intelligent data solutions with cloud-native scalability, speed, and performance.

Megan Headley, vice president of Research at TrustRadius, noted: 鈥淩eviewers on TrustRadius appreciate 麻豆原创 HANA Cloud鈥檚 low administrative overhead, speedy data processing, and ease of use for new users.鈥�

Bring Together Analytics and Planning with 麻豆原创 Analytics Cloud

supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt. It can automate data-driven insights with the power of machine learning, helping you utilize the full context of 麻豆原创 data so that you can bring analytics closer to the point of decision.

麻豆原创 Analytics Cloud is the 鈥渂est financial planning and analytics innovative cloud solution,鈥� noted one TrustRadius reviewer. 鈥溌槎乖� Analytics Cloud is an innovative and solid product to improve FP&A, analytics, and consolidation [for] cloud-based business transformation processes.鈥� Learn more in the .

Give Data Purpose with 麻豆原创 Data and Analytics Solutions

Data and analytics empower business users to make informed decisions with 麻豆原创 solutions. 麻豆原创 Datasphere, 麻豆原创 Analytics Cloud, and 麻豆原创 HANA Cloud can work together seamlessly to help provide trusted insights while easily integrating into your business processes.

We鈥檙e honored that our customers have made their voices heard and we are proud that TrustRadius has recognized our products as top rated. Thank you to our passionate data and analytics customers for your continued support.

Learn more about .

Daniel Yu is senior vice president of Solution Management and Product Marketing for 麻豆原创 Data and Analytics at 麻豆原创.

鈥淔ifty years ago 麻豆原创 built the first ERP system, 30 years ago we made real time a reality, and 10 years ago we entered the cloud,鈥� Saueressig said. 鈥淭oday, we are actually innovating together with all of you to redefine enterprise software and future-proof your business entering the era of AI. We’ve been alongside you, your businesses, and your industries with continuous improvement and continuous innovation.鈥�

To kick off the keynote and to showcase a series of demos, Saueressig and Mueller invited two 麻豆原创 colleagues, Lucy Alexander and Sangeetha Jayakumar, onto the 麻豆原创 Sapphire stage in Orlando, Florida. Before diving into the demos and a customer panel that included Topcon, the Women鈥檚 Tennis Association, Henkel, and Nestl茅, Saueressig and Mueller asked the two talents why they chose to work at 麻豆原创.

Alexander said she joined 麻豆原创 because the software industry is the place to have an impact. 鈥淛ust think: 麻豆原创 has helped to produce more smartphones than any smartphone manufacturer, connecting all of us. We’ve also helped to make and distribute more vaccines than anyone else during the pandemic. To me, that’s impact.鈥�

Jayakumar shared that she joined 麻豆原创 because of the company鈥檚 commitment to sustainability. She admires 麻豆原创鈥檚 aspiration toward a future with zero emissions, zero waste, and zero inequality. 鈥淭hat’s why I chose 麻豆原创.鈥�

麻豆原创鈥檚 raft of sustainability solutions for customers was the first of the innovations highlighted by Saueressig and Mueller. 麻豆原创 doubled down on its sustainability initiative in 2020 despite the pandemic, 鈥渂ecause we were, and still are, truly committed to it,鈥� Saueressig said.

The introduction earlier in the day of the green ledger for carbon accounting as part of the cloud ERP offerings RISE with 麻豆原创 and GROW with 麻豆原创 underscores the company鈥檚 continued commitment to enabling customers to truly measure their carbon footprints by moving from average carbon emissions to actuals. 鈥淲e all know that to get to a low-carbon future, you need end-to-end transparency and visibility across the entire supply chain,鈥� Saueressig said.

help turn those fragmented supply chains into collaborative sustainable networks. The launch of 麻豆原创 Business Network for Industries at 麻豆原创 Sapphire is also a key part of the company鈥檚 strategy. 鈥淲e are working on many industry-specific data networks, like Catena-X and Manufacturing-X,鈥� said Saueressig. 鈥淏ut all of these networks are only possible if processes and data are seamlessly integrated.鈥�

Picking up the theme, Mueller said that integration enables completely new possibilities such as synchronized planning, which is a closed loop between planning and execution. It is also automated and network aware.

鈥淥ur extended planning and analytics solutions span across financial planning, workforce planning, and demand planning,鈥� Mueller explained. This allows 麻豆原创 customers to see the impact of their decisions across all their lines of business, as well as planning more holistically.

To help companies extract and harmonize data from their 麻豆原创 and non-麻豆原创 systems, 麻豆原创 recently introduced .

鈥淲ith 麻豆原创 Datasphere, you can create a data model consuming data from different sources like 麻豆原创 S/4HANA Cloud and 麻豆原创 BW/4HANA, and non-麻豆原创 data sources like Google, BigQuery, and others,鈥� Sangeetha explained during her demo. She added that 麻豆原创 Datasphere has a great graphical modeling feature, helping to quickly create a data model with simple drag-and-drop functionality, which can then be visualized in a dashboard in 麻豆原创 Analytics Cloud.

Saueressig cited 麻豆原创 Datasphere as an example of how 麻豆原创 is opening up more than ever, which is why 麻豆原创 has seen the partnerships announced in this area, including Databricks, DataRobot, Collibra, and Confluent, and now Google Cloud. 鈥淲e truly believe in the democratization of data,鈥� he said.

Mueller noted that 麻豆原创 has also recently announced AI partnerships with Aleph Alpha, IBM, and Microsoft. 鈥淏ut our key differentiator for you is how we use those technologies and embed these AI capabilities to reimagine business processes across all 麻豆原创 solutions,鈥� he said.

鈥淭here’s no doubt 麻豆原创 is an AI company and 麻豆原创 AI is built into our systems that power your business,” Saueressig added. As of today, 麻豆原创 has delivered more than 130 embedded use cases of AI .

For example, 麻豆原创 systems processed 40 million invoices automatically last year and generated savings of more than $366 million for customers. Now, generative AI is coming on top and will have widespread implications for a myriad of functions such as job descriptions, interview questions, product descriptions, and queries for analytics. 麻豆原创 is already working on more than 80 use cases for generative AI.

麻豆原创 is differentiating in the AI sphere, because its models are trained on years of business data, and also responsible and trustworthy, Saueressig said.

After demonstrating with Alexander and Jayakumar how AI and natural language processing might be integrated into 麻豆原创 Analytics, Saueressig predicted that AI 鈥渨ill be infused everywhere and enable totally new capabilities in our products.鈥�

Mueller then demonstrated the use of generative AI for development. Currently, he noted, many 麻豆原创 customers use standardized APIs to build future-proof extensions. 鈥淏ut imagine this,鈥� he told the audience. “What if instead of coding myself, I could simply describe what I want, and 麻豆原创 will take care of it? Wouldn’t that be cool? And we are actually making this a reality with generative AI.鈥�

But the power of AI actually goes far beyond efficiency, according to Saueressig, who suggested we could also use AI to reshape the experience between humans and machines: 鈥淚t’s a duet, not a duel.鈥�

The keynote also revolved around how 麻豆原创 has modernized its user interfaces and how it has used collaboration to streamline applications. It was shown how it is possible to improve and automate business processes using 麻豆原创 Signavio solutions and how 麻豆原创 Build and 麻豆原创 Integration Suite can bridge the gap between business and IT.

鈥溌槎乖� enables enterprise automation because we know that you are under a lot of pressure when it comes to efficiency in your organizations and with that you can continuously identify and improve processes,鈥� Mueller said.

During the customer panel, participants explained all the different ways they are using 麻豆原创 to innovate and future-proof their businesses. Then Mueller and Saueressig summed up the key innovations that had been discussed.

鈥淭o summarize all these innovations, we enable risk resilient supply chains,鈥� Saueressig said. 鈥淲e connect your business to a broader network. We help you plan across the business. We infuse AI across the whole portfolio of 麻豆原创 and we want to provide you with a new intuitive user experience and collaboration capabilities, all enabled by our leading .鈥�

This week at Orlando, we introduced a host of new 麻豆原创 BTP capabilities that span application development, automation, integration, data and analytics, and artificial intelligence (AI). For those who missed out on attending the event in person or virtually, be sure to check out the and read the full list of announcements in the .

Automate the Enterprise

Today, most automation projects are repetitive, task-oriented, lower-value work, such as logging into systems and copying and pasting data. While these automated tasks save thousands of manual hours and dollars, there is still more to be done in this space.

Enterprise automation is a new solution that uses multiple advanced technologies — integration, automation, low-code, and AI — to help connect and . This solution leverages the best-in-class , , and to enable users to quickly and easily connect any on-premise or cloud IT landscape, gain visibility into business processes, and then automate those processes seamlessly.

The best part? You can jump-start your enterprise automation journey with thousands of pre-built and reusable components for integration and automation that are available in 麻豆原创 Business Accelerator Hub. And 听and customers can access the 麻豆原创 Signavio portfolio and 麻豆原创 Build solutions at no additional cost.

Give Data Purpose

True digital transformation requires organizations to have seamless access to their mission-critical business data, no matter where it resides. Yet, with data landscapes distributed across various applications and IT landscapes, organizations spend countless hours and resources extracting, rebuilding, and integrating their data. When organizations fully harness the power of their data, they become enterprises that use it to innovate faster, create new revenue streams, and adapt to unanticipated changes.

That is why enables users to simplify the data landscape with a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. And by closely integrating 麻豆原创 Datasphere with our open ecosystem of data partners 鈥� , , , , and now 鈥� mission-critical business data can be accessed across any cloud infrastructure.

Additional solutions like the and help give data purpose. Extended planning and analysis helps align financial, strategic, and operational plans into one single plan. And intelligent data applications can transform core business functions into self-adapting, real-time, data-driven apps that automatically provide insights and recommended actions.

Explore .

AI Built for Business

An increasing number of organizations are leveraging AI to enhance their employee productivity, process efficiency, and business foresight. In doing so, they become more efficient and agile to serve customers, remain competitive, and stay in business. Yet, many companies lack the in-house expertise to apply AI effectively across their business processes and ensure it continually delivers relevant and responsible outcomes — a necessity to maximize business impact.

At 麻豆原创, we deliver AI that is available from day one, as it is already built into the 麻豆原创 applications that power the most critical business processes. In fact, we have built ready-to-use AI scenarios into 麻豆原创 applications that span across cloud enterprise resource planning (ERP), spend management, customer relationship management, and human capital management. works for businesses because it is developed using extensive industry-specific data, deep processes knowledge, and the most responsible AI practices. We use an ecosystem of strategic partnerships for general-purpose AI tooling. In essence, 麻豆原创 AI is AI built for business.

Read more about our latest 麻豆原创 AI solutions in “AI Built for Business” by Bharat Sandhu, senior vice president of Application Development and AI at 麻豆原创.

Explore at Your Own Pace

Wherever you’re at in your journey, there are easy ways to get started: check out , , and new . Additionally, 听and can help 麻豆原创 BTP customers migrate their ERP to the cloud.

JG Chirapurath is chief marketing and solutions officer for 麻豆原创 Business Technology Platform.

• New Offering Will Unite 麻豆原创 with Google Cloud鈥檚 Data and Analytics Technology, Making Enterprise Data More Open and Valuable and Advancing Enterprise AI Development

The offering enables customers to build an end-to-end data cloud that brings data from across the enterprise landscape using the solution together with Google鈥檚 data cloud, so businesses can view their entire data estates in real time and maximize value from their Google Cloud and 麻豆原创 software investments.

Data is the cornerstone of digital transformation and AI development. Organizations spend significant resources building complex data integrations, custom analytics engines, and and natural language processing (NLP) models before they start to realize value from their data investments. Data originating from 麻豆原创 systems, in particular, is among organizations鈥� most valuable assets and can contain critical information on supply chains, financial forecasting, human resources records, omnichannel retail and more. 麻豆原创 Datasphere combines this mission-critical data with data from across the enterprise landscape, regardless of its origin. Being able to combine 麻豆原创 software data and non-麻豆原创 data on Google Cloud from virtually any other data source, means organizations can dramatically accelerate their digital transformation with a fully defined data foundation that retains complete business context.

鈥淏ringing together 麻豆原创 systems and data with Google鈥檚 data cloud introduces entirely new opportunities for enterprises to derive more value from their full data footprints,鈥� said Christian Klein, CEO and member of the Executive Board of 麻豆原创 SE. 鈥溌槎乖� and Google Cloud share a commitment to open data and our extended partnership will help break down barriers between data stored in disparate systems, databases and environments. Our customers not only benefit from the business AI already built into our systems, but also from a unified data foundation.鈥�

鈥溌槎乖� and Google Cloud now offer an incredibly comprehensive and open data cloud, providing a foundation for the future of enterprise AI,鈥� said Thomas Kurian, CEO, Google Cloud. 鈥淔ew resources are as important to digital transformation as data. By deeply integrating 麻豆原创 software data and systems with our data cloud, customers will be able to utilize our analytics capabilities as well as advanced AI tools and large language models to find new insights from their data.鈥�

麻豆原创 and Google Cloud鈥檚 new open data offering complements the RISE with 麻豆原创 solution and will enable customers to:

• Access business-critical data in real time: The integration between 麻豆原创 Datasphere and Google Cloud BigQuery allows customers to access their most critical data in real time without data duplication. This joint offering can unify data from 麻豆原创 software systems, such as 麻豆原创 S/4HANA and 麻豆原创 HANA Cloud, providing organizations with a comprehensive view of their most important data on Google data cloud.
• Simplify data landscapes: 麻豆原创 and Google Cloud co-engineered powerful data replication and federation technologies, which allow businesses to integrate 麻豆原创 software data with BigQuery environments and leverage 麻豆原创 and Google Cloud鈥檚 leading data analytics capabilities. Now, customers can federate queries across 麻豆原创 Datasphere and BigQuery to blend data from 麻豆原创 and non-麻豆原创 software. This eliminates common data silos from sources that span marketing, sales, finance, supply chain and more. For example, customers with wholesale business distribution models can now have full visibility into their products as they go through the sales pipeline and reach customers.
• Create trusted insights with Google Cloud鈥檚 advanced AI and machine learning (ML) models: Businesses will be able to use Google鈥檚 AI and ML services to train models on data from 麻豆原创 and non-麻豆原创 systems.
• Perform advanced analysis: Organizations can utilize the analytics capabilities of the 麻豆原创 Analytics Cloud solution in Google Cloud to analyze financial and business outcomes while improving the accuracy of models. With a simple integration to data in BigQuery with 麻豆原创 Datasphere, customers can plan with a single, comprehensive view of their businesses.
• Utilize joint solutions for sustainability: 麻豆原创 and Google Cloud are exploring ways to combine 麻豆原创 Datasphere with broader ESG data sets and insights powered by Google Cloud to accelerate sustainability journeys with actionable insights.
• Use (麻豆原创 BTP) on Google Cloud globally: 麻豆原创 will advance its multi-cloud offerings by expanding regional support of 麻豆原创 BTP and on Google Cloud, which includes support for 麻豆原创 Analytics Cloud and 麻豆原创 Datasphere. 麻豆原创 and Google Cloud intend to launch 麻豆原创 BTP in five new regions this year, building to a total of eight regions supported by 2025.

The companies also plan to partner on joint go-to-market initiatives for enterprises鈥� largest data projects, enabling customers to adopt data products from both 麻豆原创 and Google Cloud. Visitors to the 麻豆原创 Sapphire conference can see demos of joint AI and data solutions at Google Cloud鈥檚 booth. These include how enterprises can apply generative AI to common workflows and applications, such as using a chatbot to search, create and edit purchase requests. The 麻豆原创 Sapphire conference takes place May 16鈥�17 in Orlando, Florida.

Visit the 麻豆原创 News Center. Follow 麻豆原创 on Twitter at .

About Google Cloud

Google Cloud accelerates every organization鈥檚 ability to digitally transform its business. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology 鈥� all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit .

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels. To view video stories on diverse topics, visit . From this site, you can embed videos into your own Web pages, share video via email links, and subscribe to RSS feeds from 麻豆原创 TV.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Scott Malinowski, +1 (617) 538-6297, scott.malinowski@sap.com,ET
麻豆原创 麻豆原创 Room; press@sap.com
Ryan Styrk, +1 (628) 400-7387, styrk@google.com,PT

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2022 Annual Report on Form 20-F.
漏 2023 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.

The summit featured the most recent trends, technologies, and strategies in the world of data and analytics. It offered a unique opportunity for attendees to learn from industry experts and gain insights into how businesses are using data and analytics to foster innovation.

While a wide variety of topics were addressed, data fabric stood out as a recurring theme. Data fabric is an approach to data management, deployment, and automation, and it took center stage during the sessions, workshops, and even the booth conversations.

The prominence of data fabric at the event underscores its growing importance in the field of data and analytics technology, which was exciting to see. Let’s dive into the key highlights.

1. Taking an Integrated Approach to Data and Analytics at the 麻豆原创 Booth

麻豆原创鈥檚 booth presence was a major highlight at the summit, showcasing our suite of . Many attendees were interested in learning more about the launch of , as well as our recently announced open data partnerships with Databricks, Collibra, Confluent, and DataRobot.

麻豆原创 Datasphere was last month and is our comprehensive data service that enables users to easily distribute mission-critical business data across their data landscapes. Together with our partnerships, 麻豆原创 Datasphere is the foundation that can enable a business data fabric.

More than ever before, organizations need accurate, easily accessible data that鈥檚 available in business-friendly terms. A business data fabric architecture delivers an integrated, semantically rich data layer over underlying data landscapes and provides seamless and scalable access to data without duplication. By leveraging a business data fabric, organizations can deliver meaningful data to every user 鈥� with the business context and logic intact 鈥� and position themselves for long-term success.

It was inspiring to see so much interest in the business data fabric topic, not only in the sessions at the conference but also in the conversations at the 麻豆原创 booth. This level of enthusiasm demonstrates the growing recognition of data fabric’s potential to revolutionize data and analytics strategy, further validating its importance in the evolving digital landscape.

2. Leveraging a Business Data Fabric with Glanbia

Tom Harrington, senior business intelligence analyst at Glanbia, led the session 鈥溌槎乖�: How Glanbia Drives Better Financial Decisions with Trusted, Authoritative Data.鈥� Harrington shared how Glanbia, a world leader in performance and lifestyle nutrition, gained a complete overview of its business by connecting data across cloud, on-premise, and flat files.

Glanbia leveraged 麻豆原创 Datasphere and 麻豆原创 Analytics Cloud to federate data from different sources using a business data fabric. Now, Glanbia business users create their own dashboards using 麻豆原创 Analytics Cloud and their own models in 麻豆原创 Datasphere, without assistance from IT users. They鈥檝e generated more meaningful financial insights to maximize the impact of decisions on their bottom line.

鈥淲e鈥檝e been able to transform into a data-driven organization in a quick amount of time,鈥� Harrington said. 鈥溌槎乖� Datasphere and 麻豆原创 Analytics Cloud have enabled us to do that.鈥�

Glanbia is an example of how companies can use a business data fabric to better manage, access, and analyze their data, leading to more informed decision-making, improved efficiency, and increased competitiveness in the market.

Harrington ended the session by saying, 鈥淲e鈥檙e excited about the future.鈥�

3. Showcasing Advanced Analytics at the Show Floor Showdown

麻豆原创 Analytics Cloud was featured as part of the 鈥淪how Floor Showdown: Analytics and Business Intelligence Vendors II.鈥� 麻豆原创 competed against two other vendors to analyze and interpret a data set from Gartner.

Robert Thibodeaux, senior solution engineer, leveraged 麻豆原创 Analytics Cloud and 麻豆原创 Datasphere to combine data from disparate sources, define calculations and measures, and create hierarchies and dimensions. He then presented a visualization of his findings and demonstrated the interactive storytelling features of 麻豆原创 Analytics Cloud. Thibodeaux ended his presentation by emphasizing the ease of use for business users.

鈥淚f the user knows the data, they can trust data,鈥� he said. 鈥淎ll that insight is in one place.鈥�

The show floor showdown was a great illustration of the practical applications of advanced analytics, and it highlighted 麻豆原创 Analytics Cloud as a standout solution. Advanced analytics play a crucial role in helping businesses transform raw data into actionable insights, enabling them to make better decisions, improve performance, and maintain a competitive edge in today’s rapidly evolving marketplace.

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Coming Up Next

Don’t miss the 鈥淓nd-to-end Data Governance with 麻豆原创 and Collibra” webinar on April 18, 2023. Tune in to learn how 麻豆原创 and Collibra can deliver a simplified way to govern your data estate. for the webinar to find out more.

Join us at 麻豆原创 Sapphire to learn more about 麻豆原创鈥檚 latest innovations and connect with industry experts. Attend the event online or in Orlando from May 16-17, in Barcelona from May 24-25, and in S茫o Paulo from June 1-2. for 麻豆原创 Sapphire today.

Unleash the Power of Your Business Data

can maximize the value of your 麻豆原创 data for the most impactful decisions by retaining its full business meaning and context. With 麻豆原创 data and analytics solutions, you can deliver trusted insights on a modern data stack and extend planning and analysis across the enterprise for better outcomes.

Read more about the recently launched and its capabilities. To experience the power of 麻豆原创 Datasphere firsthand, try the

Daniel Yu is senior vice president of Solution Management and Product Marketing for 麻豆原创 Data and Analytics.

When organizations fully harness the power of their data, they become enterprises that use it to innovate faster, create new revenue streams, and adapt to unanticipated changes.

At 麻豆原创, we know the opportunity to capture and use data strategically has never been more paramount. Today, we鈥檙e taking a significant step forward 鈥� along with other leaders in our industry 鈥� to enable customers to simplify their data landscape and unleash the power of business data.

Announcing 麻豆原创 Datasphere

We are excited to announce , a comprehensive data service built on 麻豆原创 Business Technology Platform (麻豆原创 BTP) that enables every data professional to deliver seamless and scalable access to mission-critical business data. With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization, 麻豆原创 Datasphere enables data professionals to easily distribute mission-critical business data 鈥� with business context and logic preserved 鈥� across the data landscape.

麻豆原创 Datasphere is the next generation of 麻豆原创 Data Warehouse Cloud. We have kept all the capabilities that customers love using today and added new capabilities that enhance the discovery, modeling, and distribution of mission-critical business data. Existing 麻豆原创 Data Warehouse Cloud customers will automatically see the new functionalities in their product environment today and can continue running their workloads without disruption 鈥� no migration necessary.

麻豆原创 Datasphere offers a range of benefits for businesses to enhance their data strategies.

Access Authoritative Data

麻豆原创 Datasphere provides a direct line to mission-critical business data and metadata 鈥� and the critical relationship between them 鈥� from 麻豆原创 applications. It makes it effortless for data professionals to solve complex business semantic modeling requirements via the new 麻豆原创 Datasphere Analytic Model. This capability provides accelerated time-to-value by automatically reusing the semantical definitions and associations from 麻豆原创 applications, simplifying the steps data professionals must take to deliver mission-critical business data across their organization. We have also made it easier to automatically discover, manage, and govern your data with 麻豆原创 Datasphere Catalog. Additionally, cataloging data stored in 麻豆原创 Analytics Cloud and 麻豆原创 Datasphere will be provided at no additional charge.

Enrich All Data Projects

麻豆原创 Datasphere enables organizations to combine all their data and implement transformations that help ensure everyone is always working off the same data. It supports both data federation and new fast data replication, offering powerful options to combine data sources and harmonize heterogeneous data into a business semantic model of customers鈥� diverse data landscapes. Access to industry data is now even easier with 麻豆原创 Datasphere Marketplace, which has more than 3,000 curated data sets that can be acquired at the touch of a button to quickly enrich data projects with topical, trusted data. Moreover, we are announcing partnerships with industry-leading open data partners to closely integrate their data and artificial intelligence (AI) platforms with 麻豆原创 Datasphere to enable customers to combine 麻豆原创 data with other data sources unlike ever before.

Simplify the Data Landscape

麻豆原创 Datasphere runs in every cloud and against hybrid environments. This flexibility allows data professionals to have secure access to all their data no matter where it resides. It also enables customers to maximize their on-premise investments, such as 麻豆原创 Business Warehouse (麻豆原创 BW). 麻豆原创 Datasphere, BW bridge, enables the reuse of 麻豆原创 BW models and connectors, providing a transition path to the public cloud for 麻豆原创 NetWeaver BW and 麻豆原创 BW/4HANA customers. Once data is integrated, harmonized, and improved in 麻豆原创 Datasphere, data professionals can use 麻豆原创 Datasphere Spaces 鈥� a feature to organize, group, and manage data as well as control the level of visibility and collaboration 鈥� to create a 鈥渧irtual workspace.鈥� These virtual workspaces can then be delivered to data consumers that rely on packaged data such as marketing, sales, supply chain, or partner data and AI teams.

麻豆原创 Datasphere can make real the promise of business data being an always-on, always high-quality resource that can be relied on 鈥� without having to second guess if it is fit for purpose.

Building a Powerful Open Data Ecosystem Around 麻豆原创 Datasphere

In a major moment for our industry and customers, 麻豆原创 is partnering with other open data partners 鈥�, , , and 鈥� to radically simplify customers鈥� data landscapes with a business data fabric. By closely integrating their data and AI platforms with 麻豆原创 Datasphere, organizations can now access their mission-critical business data across any cloud infrastructure.

Each of these strategic partners bring the unique strengths of their ecosystems:

• Databricks integrates 麻豆原创 data, with its complete business context, with its Data Lakehouse platform
• Collibra future proofs data governance, privacy, and compliance initiatives
• Confluent sets data in motion with its data streaming platform
• DataRobot empowers organizations to leverage augmented intelligence with automated machine learning

Delivering a Business Data Fabric

麻豆原创 Datasphere, and its open data ecosystem, is the technology foundation that enables a business data fabric. This is a data management architecture that focuses on delivering an integrated, semantically rich data layer over underlying data landscapes to provide seamless and scalable access to data without duplication. A business data fabric equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. As organizations need accurate data that is quickly available and described with business-friendly terms, this approach enables data professionals to permeate the clarity that business semantics provide throughout every use case.

鈥淭he business data fabric architecture enables us to bring 麻豆原创 and non-麻豆原创 data together in the seamless and self-service way we’ve been envisioning. 麻豆原创 Datasphere provided us with a solution to build a harmonized layer across 麻豆原创 and non-麻豆原创, cloud, or on-premise data sources, making the best use of our existing investments in 麻豆原创, Microsoft Azure, Salesforce, and Oracle.鈥�

– David Johnston, Chief Information Officer, Messer

麻豆原创 Datasphere represents the tailored integration point for all partners enabling customers to connect, unify, and manage 麻豆原创 and non-麻豆原创 data unlike ever before. With the support of some of the world’s most renowned advisory firms, such as Accenture, , , , , and , every organization can enable a business data fabric to deliver meaningful data to their data consumers.

We welcome all partners to join us in the mission of empowering customers to unleash the power of business data.

Get Started Today

Start your journey today to unleash the power of your business data across your data landscape with 麻豆原创 Datasphere.

• and the new capabilities with the guided experience
• instantly with the free tier of 麻豆原创 BTP
• to hear more about these new 麻豆原创 and partner innovations
• Read A Deeper Look Into How 麻豆原创 Datasphere Enables a Business Data Fabric, by Juergen Muller, CTO and member of the Executive Board of 麻豆原创 SE

JG Chirapurath is chief marketing and solutions officer for 麻豆原创 BTP.