How Data Catalogs Became the New Enterprise Search Engine

What this episode covers

Episode 52 of The Data Business Podcast. Lucas and Luna explore how enterprise data catalogs are evolving from simple metadata registries into full-featured search and discovery platforms — essentially becoming the 'Google for your company's data.' They discuss a real-world case: how a Fortune 500 retailer with 15,000 data assets cut discovery time from hours to seconds by implementing a catalog with natural language query and automated classification. Along the way, they cover the rise of active metadata, the role of knowledge graphs in connecting datasets, and why data catalogs are now a prerequisite for any serious AI initiative. Listeners will learn one concrete number: a typical analyst wastes 30–40% of their time just finding the right data — and modern catalogs can cut that to near zero. #DataCatalog #EnterpriseSearch #ActiveMetadata #DataDiscovery #KnowledgeGraph #DataGovernance #Fortune500 #RetailData #Analytics #DataInfrastructure #ArtificialIntelligence #DataLake #BusinessIntelligence #DataManagement #DataEngineering #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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