With Business Data Cloud, SAP is making new attempts to integrate and standardize SAP business applications and data from third-party providers. Working with Data Lake specialist Databricks, this includes analyzing a large amount of unstructured data. This allows businesses to take full advantage of their data potential and provide a robust foundation for building and operating trustworthy agent-based AI applications.
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Business Data Cloud is similar to SAP’s data management platform Data Aspheria, but is sold as a SaaS product. Features including the DataBricks module are provisioned via SAP’s PaaS Environment BTP (Business Technology Platform). This means that you don’t have to work hard to connect services and you don’t have to manage your tenants. Another new feature is a knowledge graph that maps the relationships between data and processes in a business context.
Understanding the data contained
With Business Data Cloud, SAP wants to be involved in the economy of data products. Fully managed SAP data products are offered for all types of business processes. They provide access to value creation information without the costly data extraction process. The original business context and semantics are preserved. For example, if a CFO wants to assess the impact of rising inflation on profitability, the Data Cloud integrates external real-time data, such as consumer price index, with internal financial data such as general ledger accounts, cost centers, and VAT types, to include A financial snapshot.
SAP also wants to use the Business Data Cloud to provide new features. The so-called Insight app links data products with AI models to enable further analytics and planning of day-to-day operations. SAP’s Genai Co-Pilot Environment Joule also benefits from the new data cloud offering when it comes to coordinating AI agents across a variety of business functions.
We’ll go into more details in our detailed blog posts on SAP and Databricks.
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This article was originally published in German. It was translated with technical assistance and was editorially reviewed prior to publication.
