In the Gartner article “4 Use Cases That Drive Critical Capabilities in Metadata Management” it states, “Modern metadata management solutions go beyond just data cataloging capabilities to also leverage and support metadata repositories, business glossaries, data lineage, impact analysis, rule management, and metadata discovery, ingestion and…

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Data quality management, though perceived to be relevant and important at an enterprise level, is in reality mostly implemented in silos. The data quality rules are essentially defined and executed at application level against corresponding database schemas and file structures. The results are presented and analysed only in the context of specific application.

This siloed approach prevents organizations from getting an enterprise view of data…

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