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As part of the 麻豆原创 Business Unleashed moment, 麻豆原创 announced the creation of 麻豆原创 Business Data Cloud.

Partnering with Databricks, 麻豆原创 Business Data Cloud helps customers get the full picture of their business by empowering their large language models (LLMs) to combine 麻豆原创 and third-party data into one single layer, with the result being a new focus on only high-quality data.

Landmark Collaboration Redefines Enterprise Data Management and Unleashes the Full Potential of Agentic AI

NEW YORK 鈥� (NYSE: 麻豆原创) today announced 麻豆原创 Business Data Cloud, a groundbreaking solution that unifies all 麻豆原创 and third-party data throughout an organization, providing the trusted data foundation organizations need to make more impactful decisions and foster reliable AI.

The solution harmonizes data from organizations鈥� most mission-critical applications with data engineering and business analytics capabilities, paving the way for next-level innovation and insights.

This between 麻豆原创 and Databricks marks a new era in enterprise data management as two leaders in their domains come together to redefine how applications and data platforms work together. The new solution natively embeds Databricks technology for data engineering, machine learning and AI workloads.

鈥溌槎乖� Business Data Cloud unleashes the full value of enterprise data for Business AI,鈥� said 麻豆原创 CEO Christian Klein. 鈥淚t combines 麻豆原创鈥檚 unique expertise in mission-critical, end-to-end processes and semantically rich data with Databricks鈥� world-class data engineering capabilities to create a ground-breaking solution that helps organizations do more with their data than ever before.鈥�

鈥淓very company on the planet wants to get more value out of their data and greater returns on their AI investments,鈥� said Ali Ghodsi, Co-founder and CEO of Databricks. 鈥淏y joining forces with 麻豆原创, we鈥檙e helping organizations bring together all their data 鈥� regardless of format or where it lives 鈥� to govern, analyze and build domain-specific AI applications on the Databricks Data Intelligence Platform.鈥�

Introducing the data product economy

麻豆原创 Business Data Cloud also helps 麻豆原创 foster the growth of a data product economy. It delivers fully-managed 麻豆原创 data products across all business processes 鈥� from finance, spend and supply chain data in 麻豆原创 S/4HANA and 麻豆原创 Ariba, to learning and talent data in 麻豆原创 SuccessFactors. These data products maintain their original business context and semantics, providing immediate access to high-quality data without costly extraction processes. For example, if a CFO wants to assess the impact of rising inflation on profitability, 麻豆原创 Business Data Cloud integrates real-time external data such as the consumer price index with financial data products such as general ledger accounts or cost centers to create a comprehensive financial snapshot.

麻豆原创 Business Data Cloud will also offer new capabilities called insight apps that use data products and AI models connected to real-time data to deliver advanced analytics and planning across all lines of business, including core enterprise analytics, finance and human resources.

鈥溌槎乖� Business Data Cloud will help us unlock the value of our data and drive innovation across our business,鈥� said Markus Hartmann, Corporate Vice President and Head of Business Technology and regions Europe, APAC and IMEA, at Henkel, a multinational chemical and consumer goods company. 鈥淚ts semantically rich data products and deep Databricks integration will enhance our existing data products and empower us to model scenarios and leverage AI insights, building a sustainable future for our data ecosystems.鈥�

Delivering on the full promise of AI agents

麻豆原创 Business Data Cloud will improve how Joule, 麻豆原创鈥檚 generative AI copilot, accelerates cross-functional workflows and improves business decision-making with AI agents. Powered by the highest-quality enterprise dataset in the industry 鈥� and the 麻豆原创 Knowledge Graph solution, which provides a business-friendly model of data 鈥� Joule agents deeply understand end-to-end processes and can collaborate across functions to solve complex business challenges, something no other agent builder technology can do out of the box.

Underscoring today鈥檚 announcement and its significance for AI innovation, 麻豆原创 also unveiled a series of ready-to-use Joule agents across finance, service, sales and more to come across the 麻豆原创 Business Suite. In finance, for example, agents will work together across a variety of tasks to process claims faster and improve cashflow. Joule sales agents, meanwhile, will accelerate multi-step business processes to resolve disputes and process customer inquiries faster.

麻豆原创 today also announced a powerful new agent builder capability, so customers can build and deploy their own AI agents alongside 麻豆原创’s library of ready-to-deploy Joule agents. 麻豆原创’s decades of business process expertise are built into the guided workflow so users can ground their custom agents in the most relevant data and business context.

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About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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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.

Every day, your people spend too much time aligning data, decisions, and actions across functional silos. AI agents can help bridge these silos, so that core processes run flawlessly and the entire organization operates more efficiently.

However, capturing this opportunity is not about creating lots and lots of siloed agents across the enterprise that help reinforce more functional independent tasks. Instead, it鈥檚 about having the right agents, grounded in the correct business context and data, that can work together, supporting human collaboration and improving end-to-end processes.

At 麻豆原创, we have been investing heavily to deliver the full promise of . From the start, we鈥檝e architected 麻豆原创 Business AI with a Suite-first principle that ensures an integrated AI strategy that brings exceptionally more value with every skill, feature, or scenario added to our portfolio of applications and platform.

Joule, our generative AI copilot, provides one seamless integrated experience across the suite, providing a unified user interface across all business functions and more than 1,300 skills to perform work across the organization. You can ask any question or present any business problem, and Joule will work across every part of your business to solve it like no other solution in the market.

These investments set a strong foundation for realizing our vision for Joule agents — a vision we first shared at 麻豆原创 Sapphire in 2024. Joule agents are uniquely capable of working together and with business users in various roles to execute complex cross-functional processes with speed and reliability.

Watch the video:

With today鈥檚 announcement of 麻豆原创 Business Data Cloud, the foundation for Joule agents becomes even stronger, because AI agents are only as powerful as the data in which they are grounded.

麻豆原创 Business Data Cloud equips Joule agents with a single trusted data layer that breaks down data silos, unifying data across 麻豆原创 and non-麻豆原创 sources. With 麻豆原创 Business Data Cloud, Joule agents access the most complete and context-rich data sets, allowing them to reason more deeply and act with more insight to solve problems.

麻豆原创 Knowledge Graph, previously announced at 麻豆原创 TechEd in 2024, serves as the semantic bridge between Joule agents and 麻豆原创 Business Data Cloud. 麻豆原创 Knowledge Graph reveals the connections between data and processes, helping Joule agents find all the most relevant data to ground their decisions and actions.

While knowledge graphs are not a new concept, combining them with new advanced technologies makes them extremely powerful. 麻豆原创 Knowledge Graph is rapidly advancing to make 麻豆原创’s unique 50-plus years of business process expertise available to Joule agents. This process grounding further enables Joule agents to be aware of the context in which they operate and, therefore, to solve more challenging problems that involve multi-step processes spanning supply chain, procurement, finance, and more.

All these innovations turn our long-held AI agent vision into a reality, with more innovation to come, faster. Today, we announced the availability of a collection of ready-to-use Joule agents across finance, service, and sales, with more across the 麻豆原创 Business Suite portfolio in 2025.

The announcement includes the planned first quarter availability of a cash collection Joule agent previewed at 麻豆原创 TechEd in 2024. The cash collection agent will analyze disputes and work across finance, customer service, and operations to validate details and recommend resolutions. This Joule agent exemplifies the full promise of agentic AI 鈥� delivering new levels of operational efficiency by working cross-functionally to complete a complex, multi-step process that usually takes hours in just a few seconds.

Watch the video:

罢辞诲补测鈥檚 announcement also includes new ready-to-use Joule agents that advance efficiency across multi-step sales and service tasks. This includes a Q&A agent that continuously monitors opportunities and customer cases, proactively spotting questions and surfacing relevant answers from approved knowledge sources; a knowledge creation agent that automatically identifies novel case resolutions and creates structured knowledge articles that scale expertise across your organization; and a case classification agent that understands case context — for example, recognizing a tax-related inquiry even if the word “tax” isn’t mentioned — and correctly routes the case to the correct team.

This class of functionally focused Joule agents will become part of Joule鈥檚 collaborative agent architecture, making them available to team with other Joule agents to solve problems across cross-functional processes. For example, when the case classification agent identifies a customer billing dispute, it can route it to the cash collection agent, autonomously kicking off the dispute resolution multi-agent workflow. Through such , a dispute can not only be resolved in seconds but also within seconds of its receipt, further increasing process efficiency and delighting customers with unmatched response time.

In addition, 麻豆原创 also previewed a custom agent builder capability for Joule studio in 麻豆原创 Build. The new agent builder will make it simple for users such as citizen developers to create custom agents for their company鈥檚 unique business needs. A guided no-code workflow, informed by 麻豆原创鈥檚 business process expertise, helps ground custom AI agents in business processes and data, allowing them to solve problems through autonomous actions across a customer鈥檚 麻豆原创 and non-麻豆原创 applications. With the unique foundation provided by Joule, Joule agents, 麻豆原创 Business Data Cloud, and 麻豆原创 Knowledge Graph, the agent builder enables organizations to build powerful custom AI agents.

With Joule agents, Joule is not just an AI copilot, but becomes an AI orchestrator across all your organization. Joule can now adaptively assemble and orchestrate teams of agents — including out-of-the-box as well as customer鈥檚 custom-built AI agents — from multiple business functions to perform complex end-to-end processes. With Joule agents, teams work more seamlessly, work moves faster, and businesses operate more efficiently.

To learn more, visit the .

Brenda Bown is chief marketing officer of 麻豆原创 Business AI at 麻豆原创.