As the volume of data has grown exponentially, the need for making data sources more discoverable and manageable is growing, so organizations can make more informed decisions about how to use and monetize their data. Intelligent data catalogs help manage this growth with capabilities to discover, curate, categorize, share data and build analytical models.
This comprehensive guide will cover the benefits of a modern data catalog, getting started with taxonomy best practices, and five use cases on implementing a data catalog. As companies incorporate AI across their business models, the value of data catalogs to automate organization, provide consistent definitions and enable self-service management of data becomes more essential. Also, explore the opportunities to learn about IBM Watson® Knowledge Catalog for managing enterprise data and AI model governance.
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