Bringing Transparency to Finance Adjustments: Journals and Drill Through in SAC

As data volumes grow and analytics demands become more advanced, many organizations begin to hit the limits of traditional data architectures. Standard reporting and modeling tools are powerful — but they aren’t always designed for large-scale data engineering, machine learning, or complex transformations across diverse data sources. So how do you know when it’s time to extend your data strategy? In this session, we’ll explore how organizations are expanding their data capabilities by integrating SAP Business Data Cloud with Databricks to support advanced analytics, AI, and large-scale data processing. You’ll gain a clear understanding of where traditional tools reach their limits — and where Databricks adds measurable value.