Adaptive Updated Privacy Policy 2020

    At Adaptive, we are committed to delivering happiness to our customers and users by providing the best data governance and analytics solutions. Part of that best-in-class experience is knowing that we are committed to ensuring the privacy and security of your data.

California Consumer Privacy Act
We have updated our privacy policy to comply with CCPA which comes…

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Gartner has named Adaptive as a Leader, in its 2019 Magic Quadrant for Metadata Management Solutions

Adaptive Inc., the Metadata Management Platform company, is delighted to announce that Gartner, in its 2019 Magic Quadrant for Metadata Management Solutions, has named Adaptive as a Leader based on its ability to execute and for completeness of vision.

Adaptive’s flagship product, Adaptive Metadata Manager™ helps organizations solve complex information management challenges by providing a semantic platform that can enable Data…

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Adaptive Customer Case Study – Financial Services

Adaptive will provide a comprehensive case study regarding success stories relating to the financial services industry to include:

— Implementing business glossaries and ontologies

— Traceability and lineage best practices

— Leveraging domain centric data for enhanced analytics & governance

— Applicable user roles in the governance…

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“4 Use Cases That Drive Critical Capabilities in Metadata Management” Gartner Article

 

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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How Adaptive Metadata Manager Helps With Integration Of Data Quality In Enterprise Data Management

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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