Daiichi Sankyo Europe GmbH | Collibra
Daiichi Sankyo Europe, a pharma company with 25,000+ employees across more than 20 countries, had inconsistent data practices spanning 15 country affiliates; Head of Data Excellence Pavel Ermakov said the company needed a centralized way to ensure data quality and trust ("data is like oxygen"). After evaluating six providers, it chose Collibra's Data Catalog and Data Governance, integrated with Snowflake, Power BI, dbt, and its CRM, adopting a hybrid data-mesh model and launching its first use case — KPI definition and standardization across regions — in under two months using Collibra Rapid Start. The result was one standardized set of governance guidelines that eliminated inconsistent regional KPI calculations, a "single and centralized foundation" for data assets, and improved understanding of GDPR and pharma-specific compliance.
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.
Published by Collibra on its own site — read the original case study on collibra.com ↗
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