Design & Stress-Test · Collibra

Data products at SAP: Enabling AI-powered data driven decisions

SAPDesign & Stress-TestCollibra

SAP, headquartered in Germany with 100,000+ employees, was managing scattered, one-off data initiatives and wanted a more systematic approach to governance and accessibility. It adopted Collibra in 2024, using "flexible asset modeling, tailored workflows and deep integrations across SAP's data ecosystem" to build reusable, governed data products instead of one-time projects. The page describes qualitative benefits — faster decisions, more confident innovation, and streamlined access to high-quality data — but provides no specific performance numbers, ROI figures, or timeline results.

Collibra is a data-governance and catalog platform used to keep data trustworthy, traceable and compliant enough to support an AI initiative.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.

Source

Published by Collibra on its own site — read the original case study on collibra.com ↗