INDIA鈥� February 13, 2025 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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麻豆原创 announced 麻豆原创 Datasphere solution, the next generation of its data management portfolio, which give 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 鈥揅onfluent Inc., Databricks Inc., Collibra NV, 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-premises 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.

鈥淚ndia, which is set to become the world’s 3rd largest economy with a large, connected population, produces an immense volume of data in various sectors. With 麻豆原创 customers generating 87% of total global commerce, 麻豆原创 data is one of the most valuable business assets that power the critical functions of an organization, from manufacturing to supply chain, finance, human resources, and more,鈥� said Bharat Sandhu, SVP, AI & Application Development Platform, 麻豆原创. “We want to help our customers take the next step to efficiently and confidently integrate 麻豆原创 data with non-麻豆原创 data while preserving all the related business context and logic to unleash the power of business data.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.

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-premises 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:

• 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.
• 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.
• 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, visit the Announcement Blog. Follow 麻豆原创 on Twitter at .

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