Case Study: Deutsche Telekom streamlines data discovery and powers AI with DataHub

A DataHub Case Study

Preview of the Deutsche Telekom Case Study

Deutsche Telekom cuts data discovery calls from 4-5 a day with DataHub

Deutsche Telekom Digital Labs faced overwhelming data management complexity, with hundreds of terabytes of data monthly across thousands of datasets. This led to constant bottlenecks as employees struggled with data discovery, generating numerous daily queries to the data team and slowing down operations. To address this, they turned to the vendor DataHub for a centralized data catalog solution.

DataHub provided a solution featuring a centralized data catalog with end-to-end lineage tracking, a business glossary, and domain organization. This implementation streamlined data discovery, eliminated 4-5 daily calls to engineers, and reduced team onboarding from weeks to days. It also accelerated incident resolution from days to minutes, enabled an AI analytics platform, and delivered cost savings by identifying dead pipelines.


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