Companies have invested heavily in AI—building teams, adopting tools, and launching initiatives—yet many are still seeing unreliable outputs, conflicting insights, and little improvement in decision speed.
Here is what is usually going on: the AI is fine. The data is the problem.
When your data lives in separate systems that don’t talk to each other, AI cannot do its job properly. It doesn’t have enough context. It doesn’t know what the numbers mean in the context of your business. So it guesses — and guesses wrong.
SAP recognized this and responded with SAP Business Data Cloud (BDC), announced in February 2025. In 2026, it is no longer just an announcement. Companies are actively building on it, and the platform is expanding fast.
If you are running SAP and planning to get more value from AI, understanding BDC is a good place to start.
What Is SAP Business Data Cloud?
Think of BDC as SAP pulling three things that used to be separate into one place:
SAP Datasphere is where your data is stored, organized, and governed. It connects data from SAP systems and non-SAP systems and keeps it consistent.
SAP Analytics Cloud (SAC) is where you build reports, dashboards, and plans. It is how business users actually see and use the data.
SAP Business Content is a library of ready-to-use data models and reports for common business areas — finance, procurement, supply chain, HR. Instead of building everything from scratch, you start with templates that are already aligned to how SAP systems work.
Before BDC, these three layers were separate products. You had to connect them yourself, maintain them separately, and deal with inconsistencies between them. BDC brings all three together under one roof — one platform, one governance layer, one place to manage data for AI and analytics.
The result is a single, reliable data foundation that your AI tools — including SAP’s own Joule assistant — can actually trust and use.
Why Is 2026 the Year to Pay Attention?
SAP used 2025 to build and test the BDC architecture. In 2026, the platform is in active use and growing quickly. Here is what is happening right now:
Connections to major data platforms are going live. SAP BDC now connects directly with Databricks (available since October 2025), and integrations with Google BigQuery and Snowflake are arriving in the first half of 2026. A connection to Microsoft Fabric is planned for Q3 2026. What this means practically: if your company uses any of these platforms alongside SAP, your data can flow between them without copying it back and forth. That saves time, reduces errors, and keeps everything in sync.
A new tool for building data products is launching. The Data Product Studio — the main tool for creating governed, reusable data sets inside BDC — becomes generally available in H1 2026. This is important because it moves BDC from a concept into something teams can actually use day-to-day without heavy technical involvement.
SAP is bringing master data management into BDC. In March 2026, SAP announced plans to acquire Reltio, a company that specializes in keeping master data — things like customer records, supplier data, and product information — clean and consistent across systems. Once integrated into BDC, this makes the underlying data even more reliable for AI.
Joule AI keeps growing. SAP’s AI assistant, Joule, now has over 30 specialized agents and more than 2,500 skills across business functions. These agents work best when the data behind them is well-organized and trustworthy. BDC is what makes that possible.
The Real Problem: Why Scattered Data Breaks AI
Here is a scenario that many SAP customers will recognize.
Your finance data is in S/4HANA. Your HR data is in SuccessFactors. Your supply chain runs through a third-party system. Your reports are built in a separate analytics tool. Each system works fine on its own. But when you try to get a full picture — say, the actual cost of a supply chain delay on this quarter’s profit — the numbers don’t line up. Teams spend hours reconciling data before anyone can make a decision.
Now add AI to that setup. The AI will process whatever data it gets — but if that data is fragmented, out of context, or inconsistent, the AI’s outputs will be too. You might get a recommendation that looks reasonable but is based on incomplete information. Or Joule might give an answer about procurement spend that doesn’t match what the finance team sees in their reports.
BDC fixes this by giving every system — and every AI tool — a shared, consistent view of your data. It adds business meaning to the data, so AI doesn’t just see numbers, it understands what those numbers represent.
There is also a practical deadline for many SAP customers. SAP BW 7.5 — one of the most widely used reporting tools in the SAP world — reaches end of mainstream maintenance in December 2027. If you are still on BW 7.5 or BW/4HANA, you will need a migration plan. BDC offers a clear path forward, with tools like BW Bridge and the BW Data Product Generator that let you move gradually without starting from zero.
According to a 2025 study, 94% of companies are already aware of SAP BDC, and 54% see it as a key part of their future data strategy. The interest is there. The challenge is knowing how to get started.
What BDC Actually Gives You
Once it is in place, here is what changes:
One version of the truth. Data from SAP and non-SAP systems is unified and governed in one place. Everyone — finance, supply chain, HR, operations — is looking at the same numbers.
Ready-to-use data models. Instead of spending weeks building data structures from scratch, you start with SAP’s pre-built models for finance, procurement, supply chain, and HR. You customize from a strong baseline rather than building from a blank slate.
Analytics that stay accurate. Because SAC now draws data directly from BDC’s governed layer, your reports and dashboards are always working from clean, up-to-date information — not yesterday’s extract.
Lower costs over time. SAP reports that BDC delivers up to 67% lower total cost of ownership compared to building a similar setup independently. That is a meaningful number when you are making a business case to leadership.
AI that actually works. Joule and other AI tools inside SAP become far more reliable when the data they use is organized, governed, and contextually rich. BDC is what gets your landscape to that point.
Where to Start
The biggest mistake companies make with BDC is treating it like a technology project. It is not. It is a business capability project where technology is the enabler.
Start by asking: which decisions in our business take too long or are too often wrong? Think about things like margin analysis, demand forecasting, supplier risk, or working capital tracking. Pick three to five areas where better data would directly improve a business outcome.
Then map what data is needed for those decisions — where it currently lives, how it gets from source to report, and where the gaps or inconsistencies are. That mapping exercise tells you more about your BDC readiness than any technical audit.
From there, build a phased plan. BDC does not require you to throw out what you have. It is designed to work alongside your current S/4HANA environment, your existing analytics tools, and your BW systems — and evolve from there.
Building the Right Foundation for SAP Business Data Cloud
Preparing for SAP Business Data Cloud starts with understanding the current data landscape, identifying modernization priorities, and creating a practical path forward. With deep experience across SAP migrations, analytics modernization, and SAP BTP implementations, Crave InfoTech helps organizations assess readiness, simplify migration planning, strengthen data governance, and build the foundations needed to support scalable analytics and future AI initiatives across hybrid and multi-cloud environments.
