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 .

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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.

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.

With the unified experience of 麻豆原创 Datasphere for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization data, professionals can now easily distribute mission-critical business data 鈥� with business context and logic preserved 鈥� across their organization鈥檚 data landscape.

麻豆原创 Datasphere is the next generation of 麻豆原创 Data Warehouse Cloud, but with new capabilities that enhance data discovery, modeling, and distribution. This includes a new data catalog that acts as a centralized repository, describing all the data and metadata, including lineage and governance, to assure data is accurate, complete, and up to date. State-of-the-art data flow capabilities allow organizations to automatically generate pipelines at enterprise scale. We also enriched the business semantic layer with advanced modeling capabilities.

Existing 麻豆原创 Data Warehouse Cloud customers will automatically see the new functionality in their product environment today 鈥� no migration necessary.

Here, we go deeper into some of the new 麻豆原创 Datasphere capabilities announced today, which will enable organizations to deliver seamless and scalable access to mission-critical business data.

Access Authoritative Data

Customers tell us that they spend countless hours and resources extracting 麻豆原创 and non-麻豆原创 data from heterogeneous data sources in order to rebuild the semantics, logic, and context that often already exist in applications such as 麻豆原创 S/4HANA or 麻豆原创 SuccessFactors solutions. The result is a costly cycle of extracting and rebuilding, often while losing the rich context that business insight needs.

麻豆原创 Datasphere solves this issue by connecting 鈥� rather than just extracting 鈥� data with easy federation or replication to a business semantic layer, which in turn enables self-service modeling for business users without deep technical knowledge of the underlying application data structures.

麻豆原创 Datasphere enhances the business semantic layer to provide advanced multi-dimensional capabilities by introducing the 麻豆原创 Datasphere Analytic Model. This modeling experience includes complex aggregations, time dependencies, data preview, business hierarchies, business KPIs, and more. Analytic models harmonize data from different sources and expedite access to contextual, relevant business data for faster insights and decisions: they are the foundation for data consumption in听麻豆原创 Analytics Cloud.

Data professionals can choose the business entities required for their use case while having flexibility to leverage their existing attributes, relationships, and relevant measures or key figures. With this consistent, rich, and targeted analytics experience, they can distill relevant insights faster.

麻豆原创 Datasphere Catalog makes it simpler to browse and search, discover data and metadata from 麻豆原创 applications, and classify objects for your own business catalog, enriching them using the glossary, custom defined terms, and hierarchical tags. With the data lineage capability, whether it is business data or metadata, users can understand relationships between assets and visualize where the data is coming from and where it is landing. Lineage offers a structured overview of objects and spaces for users to quickly understand object and data dependencies and directly navigate to the relevant business objects.

麻豆原创 Datasphere Catalog supports data objects from other 麻豆原创 Datasphere instances and 麻豆原创 Analytics Cloud. The catalog will soon expand to include other 麻豆原创 applications and sources, including 麻豆原创 Business Warehouse (麻豆原创 BW), 麻豆原创 ERP Central Component (麻豆原创 ECC), and 麻豆原创 S/4 HANA. But that鈥檚 not all: we strive to help businesses unify all their enterprise data, both 麻豆原创 and non-麻豆原创. We are continuously developing integration with industry-leading data catalog partners, such as Collibra, to support the non-麻豆原创 sources and provide trusted governed data across the enterprise.

Enrich All Data Projects

We have kept all the powerful capabilities of 麻豆原创 Data Warehouse Cloud in 麻豆原创 Datasphere to enhance collaboration across the enterprise. In this way, we empower both business and IT and enable instant access to application data via pre-built integrations to federate or instantly replicate data using change data capture. 听

A new data ingestion capability takes this further. 麻豆原创 Datasphere can replicate data and automatically generate large numbers of pipelines without any manual build or configuration required. With the new replication task, you can identify the source system from where data needs to be replicated (麻豆原创 ECC, 麻豆原创 S/4HANA, or 麻豆原创 BW), then select objects in the source systems and a target location. The system will automatically configure all the pipelines needed to handle the initial data load and ongoing delta changes without any user intervention. These pipeline tasks are fully resilient, automatically managed by the task, and even restarted in case of failure. With this new capability, 麻豆原创 Datasphere makes it simple to replicate large numbers of tables automatically and continuously with minimal user effort or overhead.

Whether you decide to federate or replicate data into 麻豆原创 Datasphere, organizations can now easily manage user access and govern data in a virtual workspace called 麻豆原创 Datasphere Spaces. In this environment, business data professionals can model data, blending from internal and external sources and extending the model with additional business semantics.

As workloads today are ever-changing, the virtual workspace is fully elastic, and as permissions are often space-dependent, further developments will support these very specific demands. For example, at the end of the year finance departments require sensitive HR data to calculate the bonus payout for every employee of an organization. With 麻豆原创 Datasphere Spaces, you can create a separate secured area for HR to share data with finance to calculate the bonus payouts 鈥� with no movement or copying of sensitive required.

麻豆原创 Datasphere Marketplace has been enhanced to make it even easier to leverage external industry data to support business-relevant use cases and data democratization initiatives via internal data markets. 麻豆原创 Datasphere Marketplace today offers more than 3,000 datasets, including sustainability and environmental, social, and governance (ESG) data products from Connect Hub, public data sources from the Organization for Economic Co-operation and Development (OECD), and Eurostat. The intelligent lookup feature in 麻豆原创 Datasphere brings together disparate and non-changeable datasets, so that organizations can enrich their internal datasets with externally available third-party data with just a few clicks. Within 麻豆原创 Datasphere Marketplace, you benefit from access-control mechanisms that manage who can read which dataset. This helps ensure secure and governed data exchange for B2B networks with which data professionals can create new, objective KPIs and processes built over public, shared data sets.

Simplify the Data Landscape

With 麻豆原创 Datasphere, the capabilities of 麻豆原创 BW bridge will be augmented to help leverage current investments in 麻豆原创 BW and 麻豆原创 BW/4HANA and sustain your current access to 麻豆原创 data with ABAP level extractors, staging data, and understanding of 麻豆原创 data and relationships. You can use听existing 麻豆原创听BW听functionality and skills to move 70 to 80% of your existing 麻豆原创 BW and 麻豆原创 BW/4HANA听artifacts into听麻豆原创 Datasphere.

In addition, our upcoming application integration features will allow business teams to leverage pre-built business models and content packages. These accelerate the onboarding of data and metadata from 麻豆原创 business applications to 麻豆原创 Datasphere, with business context and logic preserved.

Existing 麻豆原创 S/4HANA customers can to:

• Get a sneak peek and demo of the new application integration features in 麻豆原创 Datasphere
• Share feedback directly with the 麻豆原创 Datasphere product management team
• Stay up to date with the latest news and road map items around 麻豆原创 Datasphere

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 simplifies the delivery of an integrated, semantically rich data layer over underlying data landscapes to provide seamless and scalable access to data without duplication. It鈥檚 not a rip-and-replace model, but is intended to connect, rather than solely move, data using data and metadata. A business data fabric equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. As organizations require 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.

For organizations, the value of the business data fabric is the simplified delivery of authoritative data, in business terms, to consumers across highly distributed data landscapes. It unleashes the rapid creation of intelligent data applications and quick spin-up of new analytics and planning projects, so organizations can derive more business value from data assets.

Building a Powerful Open Data Ecosystem Around 麻豆原创 Datasphere

麻豆原创 is also partnering with an open ecosystem of leading technology vendors seeking to alleviate organizations鈥� need to simplify, integrate, secure, and govern the data landscape. The first set of open data partners providing core components of the value the business data fabric delivers include , , , and . Together, we will work to champion and strengthen 麻豆原创鈥檚 business data fabric as a new industry standard for an interoperable data strategy.

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

• Databricks and 麻豆原创 will deliver bi-directional integration between 麻豆原创 Datasphere鈥攚ith 麻豆原创 data鈥檚 complete business context鈥攚ith its Data Lakehouse platform on any cloud platform
• Collibra and 麻豆原创 will start by integrating their data catalogs to future-proof data governance, privacy, and compliance initiatives听for every organization.
• Confluent will enable data in motion with real-time streaming data from/to 麻豆原创 Datasphere
• And finally, DataRobot will allow any organization to build powerful custom machine learning models on top of 麻豆原创 Datasphere and bring results directly into their business data fabric

麻豆原创 Datasphere represents the tailored integration point for all partners, enabling customers to connect, unify, and distribute 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 Accenture, , , , , and , every organization can enable a business data fabric that delivers meaningful data to their data consumers.

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

Get Started with 麻豆原创 Datasphere Today

Start your journey today to unleash the power of 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
• today for an early preview of the upcoming application integration features

Juergen Mueller is CTO and a member of the Executive Board of 麻豆原创 SE.

麻豆原创 announced the 麻豆原创 Datasphere solution, the next generation of its data management portfolio, which gives customers easy access to business-ready data across the data landscape. 麻豆原创 also introduced strategic partnerships with industry-leading data and AI companies 鈥� Collibra NV, Confluent Inc., Databricks Inc. and DataRobot Inc. 鈥� to enrich 麻豆原创 Datasphere and allow organizations to create a unified data architecture that securely combines 麻豆原创 software data and non-麻豆原创 data.

Until today, accessing and using data located in disparate systems and locations 鈥� across cloud providers, data vendors and on-premise systems 鈥� has been a complex challenge. Customers have had to extract data from original sources and export it to a central location, losing critical business context along the way and recapturing it only through ongoing, dedicated IT projects and manual effort. With today鈥檚 announcements, 麻豆原创 Datasphere helps eliminate this hidden data tax, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact.

鈥淲ith 麻豆原创 customers generating 87% of total global commerce, 麻豆原创 data is among a company鈥檚 most valuable business assets and is contained in the most important functions of an organization, from manufacturing to supply chains, finance, human resources and more,鈥� said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 麻豆原创 SE. 鈥淲e want to help our customers take the next step to easily and confidently integrate 麻豆原创 data with non-麻豆原创 data from third-party applications and platforms, unlocking entirely new insights and knowledge to bring digital transformation to another level.鈥�

麻豆原创 Datasphere

Available today, 麻豆原创 Datasphere is the next generation of the 麻豆原创 Data Warehouse Cloud solution. It enables data professionals to deliver 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 help distribute mission-critical business data 鈥� with business context and logic preserved 鈥� across their organization鈥檚 data landscape. 麻豆原创 Datasphere is built on 麻豆原创 Business Technology Platform (麻豆原创 BTP), which includes strong enterprise security capabilities, such as database security, encryption and governance. No additional steps or migrations are required for existing customers of 麻豆原创 Data Warehouse Cloud, who will benefit from new 麻豆原创 Datasphere functionality in their product environment. New functionality includes data cataloging that automatically discovers, manages and governs data; simplified data replication to deliver data and its constant updates in real-time; and enhanced data modeling that preserves the rich business context of data in 麻豆原创 applications. Additional application integration capabilities that link data and metadata from cloud solutions from 麻豆原创 to 麻豆原创 Datasphere are planned.

Messer Americas, a leading industrial and medical gas company in North and South America, needed simple and secure access to data from 麻豆原创 and non-麻豆原创 solutions within the company to strengthen data-driven decision-making and free up IT resources to focus on other strategic tasks. With 麻豆原创 Datasphere, Messer Americas was able to build a modern data architecture that maintained the context of its enterprise data.

鈥溌槎乖� Datasphere simplifies our data landscape, giving us more confidence in the data we鈥檙e working with every day so we can better deliver on the needs of the business,鈥� said David Johnston, Chief Information Officer, Messer Americas. 鈥淲e are able to react faster to emergent changes in supply and demand, resulting in better inventory management, improved customer service and optimization of our supply chain.鈥�

Strategic Partnerships

麻豆原创 and its new open-data partners will help hundreds of millions of users across the world make informed business-critical decisions rooted in massive amounts of data. 麻豆原创鈥檚 strategic partners provide the unique strengths of their ecosystems and enable customers to combine all their data like never before.

鈥淓verybody wants access to 麻豆原创 data, so leveraging partnerships among tech suppliers is absolutely necessary for a comprehensive data strategy,鈥� said Dan Vesset, group vice president of data and analytics market research, IDC. 鈥淥rganizations today live in a world where a multi-cloud, multivendor and off- and on-premise data landscape is the norm. 麻豆原创 is taking a new approach by partnering with a select group of leading partners, treating third-party data as a first-class citizen to better meet the needs of customers.鈥�

Initial partners include:

• Collibra plans to have a tailored integration with 麻豆原创, enabling customers to achieve an enterprise governance strategy by building a complete data catalog with lineage across their entire data landscape 鈥� both 麻豆原创 and non-麻豆原创 data. Collibra makes trusted data discoverable across any organization.
• Confluent plans to connect its data streaming platform, empowering companies to unlock valuable business data and connect it with external applications in real time. Confluent’s cloud-native offering is the foundational platform for data in motion 鈥� permitting the uninhibited flow of real-time data from various sources across an organization.
• Databricks customers can integrate their Data Lakehouse with 麻豆原创 software so data can be shared with semantics preserved, helping customers simplify their data landscape.
• DataRobot enables customers to leverage multimodal automated machine learning capabilities on top of 麻豆原创 Datasphere and bring it directly into their business data fabric on whichever cloud platform it resides.

For more information, see “Unleashing the Power of Business Data with 麻豆原创 Datasphere.”

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

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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.

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麻豆原创 announced the 麻豆原创 Datasphere solution, the next generation of its data management portfolio, which gives customers easy access to business-ready data across the data landscape. 麻豆原创 also introduced strategic partnerships with industry-leading data and AI companies 鈥� Collibra NV, Confluent Inc., Databricks Inc. and DataRobot Inc. 鈥� to enrich 麻豆原创 Datasphere and allow organizations to create a unified data architecture that securely combines 麻豆原创 and non-麻豆原创 data.

Until today, accessing and using data located in disparate systems and locations 鈥� across cloud providers, data vendors and on-premise systems 鈥� has been a complex challenge. Customers have had to extract data from original sources and export it to a central location, losing critical business context along the way and recapturing it only through ongoing, dedicated IT projects and manual effort. With today鈥檚 announcements, 麻豆原创 Datasphere helps eliminate this hidden data tax, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact.

Read the following comments from 麻豆原创 partners about their involvement.

Collibra NV

“As the volume and complexity of data continue to grow, we frequently hear from our customers that they need a single system of engagement that provides visibility into data across the enterprise and builds the foundation for enterprise-wide governance,鈥� said Laura Sellers, Chief Product Officer, Collibra. 鈥淲e are thrilled to expand our partnership with 麻豆原创 as we come together to deliver an end-to-end view of a modern data stack across both 麻豆原创 and non-麻豆原创 systems. Together, our joint customers will be able to deliver accurate and trusted data for every use, every user and across every source.”

Confluent Inc.

“For companies to make data-driven decisions with more speed and precision, they need access to all business-critical data as it flows across different systems and environments,鈥� said Erica Schultz, President of Field Operations, Confluent. 鈥淭ogether with 麻豆原创, we are on a mission to make it easier than ever to connect 麻豆原创 software data to external data with Confluent in real time to power meaningful customer experiences and business operations.”

Databricks Inc.

鈥淒atabricks and 麻豆原创 share a vision to simplify analytics and AI with a unified data lakehouse. Thousands of organizations across every industry use Databricks Lakehouse for data engineering, data warehousing, data streaming, data science and machine learning. Now we鈥檙e bringing together the worlds of enterprise 麻豆原创 software data and analytics and the Databricks Lakehouse,鈥� said Adam Conway, SVP of Product, Databricks. 鈥淲e鈥檙e excited to integrate with the 麻豆原创 Datasphere solution to help simplify our customers鈥� data landscape, enabling them to share data while preserving critical business context.鈥�

DataRobot Inc.

“With DataRobot and 麻豆原创, joint customers can now leverage machine learning models trained on their business data with speed and scale to see value faster, using the 麻豆原创 Datasphere solution as the foundation layer,鈥� said Venky Veeraraghavan, Chief Product Officer, DataRobot. 鈥淎t DataRobot, we’re very excited to partner with 麻豆原创 to make machine learning even more accessible so customers can enhance how they run, grow and optimize their business.”

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

For more information, press only:
Alex Vaught, +1 (206) 678-5712, alex.vaught@sap.com PT
Marcus Winkler, +49 6227-767497, marcus.winkler@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 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.