One of the most common concerns heard from enterprise data leaders is platform lock-in. Once your analytics models are built and optimized for one cloud platform, moving to another — or adding a new one — can require costly re-engineering. This can slow innovation, limit flexibility, and trap organizations into vendor dependencies that may not align with future strategies

One of the biggest challenges when working with SAP S/4HANA data is that it’s not immediately understandable to the people who need it most — business users. Raw SAP outputs are filled with cryptic table names, technical field codes, and reference IDs that require specialized knowledge to interpret.

For many organizations, modernizing analytics from SAP S4HANA to a modern cloud platform feels like running a marathon through molasses. Extracting data from Core Data Services (CDS) views, translating it into a new SQL dialect, restructuring dependencies, and then enriching it for reporting can take months. Every week lost in this process delays insight generation — and slows ROI