Every enterprise sits on a mountain of data. The problem? Most of it is trapped, scattered across SAP systems, third-party platforms, spreadsheets, and legacy warehouses that don’t talk to each other. By the time that data reaches the people who need to act on it, it’s either outdated, incomplete, or buried in a pipeline that took months to build.

SAP Business Data Cloud is SAP’s answer to that problem. Announced in 2025 and built as a fully managed SaaS solution, it brings together SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse in one unified experience, plus a landmark partnership with Databricks that brings advanced AI and machine learning capabilities directly into the SAP ecosystem.

The result is something enterprises have needed for a long time: a single, governed foundation where data, analytics, and AI work together instead of pulling in different directions.

Let’s break down exactly what SAP Business Data Cloud does and why it matters.

01 | A Unified Data Foundation: No More Silos

Ask any data team where they spend most of their time, and the answer is usually the same: wrangling data from different sources, rebuilding extracts, and fixing consistency issues before any real analysis can begin. 

SAP CEO Christian Klein acknowledged this at the Business Unleashed event, noting that enterprises spend up to 50% of their total IT budget on data and analytics: largely because of silos between SAP and non-SAP data, structured and unstructured data, and disconnected teams trying to bridge the gap.

SAP Business Data Cloud solves this at the foundation level. It unifies SAP and third-party data into a common semantic layer, meaning the data doesn’t just sit in one place; it carries the business context and meaning that makes it actually usable. Pre-built data products derived directly from SAP solutions mean teams no longer bear the hidden cost of rebuilding and maintaining data extracts manually.

02 | AI-Ready Data with Joule at the Center

SAP Business Data Cloud isn’t just a data storage upgrade; it’s purpose-built for the age of agentic AI. At the core is a knowledge graph that maps relationships and meaning across SAP and external data sources, giving AI agents the context they need to operate with precision.

Paired with Joule, the SAP business AI and generative AI and agentic AI copilot, users can ask open-ended questions of complex business data without needing IT support for every query. Joule agents, already available across finance, service, and sales functions, can autonomously orchestrate workflows, summarize information across business domains, and execute decisions, not just surface insights.

For enterprises investing in AI, this matters enormously. AI is only as good as the data it’s trained on. By grounding Joule in trusted, semantically rich enterprise data, SAP Business Data Cloud ensures AI outputs are reliable, relevant, and traceable, not guesswork dressed up as intelligence.

03 | Intelligent Applications Across Every Line of Business

Beyond analytics dashboards, SAP Business Data Cloud introduces a new category called Intelligent Applications, prebuilt, composable apps that combine data products, AI capabilities, and business simulations to support decision-makers across every function.

These aren’t reporting tools. They automate and orchestrate work across both analytical and transactional workflows, letting users act directly within the platform rather than exporting data to make decisions elsewhere. Current examples include:

• People Intelligence: Built on SAP SuccessFactors data, it gives HR and business leaders AI-driven recommendations on workforce composition, compensation, and skills
• Cloud ERP Intelligence: Connects ERP data products with analytics for faster operational decision-making
• ZoraAI for Finance and Supply Chain: Developed by Deloitte within SAP BDC, these agents help streamline processes and reduce inefficiencies across financial and supply chain functions

Partners including Capgemini, EY, Moody’s, and Palantir are also building their own Intelligent Applications on SAP BDC, expanding its reach across risk management, cash flow forecasting, and enterprise architecture.

04 | Open Ecosystem: Works with What You Already Have

One concern enterprises often raise about adopting a new data platform is the cost of abandoning existing investments. SAP Business Data Cloud is designed to remove that concern entirely.

Through BDC Connect, SAP enables zero-copy data sharing across platforms like Snowflake, Databricks, Google BigQuery, and Microsoft Fabric. Organizations can build analytics and AI capabilities on top of SAP BDC while keeping their existing data infrastructure in place. Existing SAP Datasphere and SAP Analytics Cloud customers can continue without interruption, with the option to transition to the fully managed BDC solution over time.

For SAP Business Warehouse customers, particularly those on version 7.5 and below, SAP Business Data Cloud also provides a clear modernization path to the cloud, with extended maintenance through 2030. Digital transformation in enterprise data doesn’t have to mean starting from scratch.

05 | Governance and Compliance Built In by Design

As AI becomes more autonomous, governance becomes more critical, not as a checkbox, but as the architecture that makes autonomous action trustworthy. SAP Business Data Cloud embeds governance across every layer of the platform, ensuring that every action taken by an AI agent is traceable, compliant, and grounded in verified business context.

Sustainability data products are also part of the roadmap, with new environment, health, and safety management data products available from SAP, covering air, water, and wastewater emissions alongside SAP Sustainability Footprint Management data products. For enterprises navigating ESG reporting requirements, this means compliance data is governed in the same platform as operational data, not maintained separately.

Why SAP Business Data Cloud Changes the Game

Across every capability above, the same shift keeps showing up:

The era of disconnected data, fragmented analytics, and AI that lacks business context is ending. SAP Business Data Cloud, and the enterprises that adopt it are what comes next.

Partnering for the Future: How Avally Drives Your Transformation

Unlocking the full value of SAP Business Data Cloud takes more than deployment; it takes a partner who understands how data, analytics, and AI fit together within the broader SAP ecosystem.

As a global digital and ERP consulting firm, Avally helps enterprises move from fragmented, siloed data environments to a connected, governed digital core built for the scale and complexity of modern business. By integrating SAP Business Data Cloud with SAP S/4HANA, SAP Analytics Cloud, and SAP Datasphere, Avally enables organizations to unify their data landscape, accelerate AI adoption, and make faster, more confident decisions across every line of business.

Connect with Avally’s SAP data experts today to accelerate your digital transformation in enterprise data and build a future-ready foundation powered by SAP Business Data Cloud.