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What is metadata management and why is it important?

Collibra

Metadata management is a cross-organizational agreement on how to define informational assets for converting data into an enterprise asset. As data volumes and diversity grow, metadata management is even more critical to derive business value from the gigantic amounts of data. . What is Metadata? Again, a partial definition. .

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Maximize your data dividends with active metadata

IBM Big Data Hub

Metadata management performs a critical role within the modern data management stack. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This puts into perspective the role of active metadata management. What is Active Metadata management?

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Top five metadata management best practices

Collibra

Metadata management is a cross-organizational agreement on how to define informational assets. The first blog of this series discusses how businesses are increasingly realizing the need for metadata management to drive data governance, compliance, collaboration and higher data quality. The importance of metadata.

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Metadata management best practices

Collibra

Metadata management is a cross-organizational agreement on how to define informational assets. The first blog of this series discusses how businesses are increasingly realizing the need for metadata management to drive data governance, compliance, collaboration and higher data quality. The importance of metadata.

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What is metadata management?

Collibra

Metadata management is a cross-organizational agreement on how to define informational assets for converting data into an enterprise asset. As data volumes and diversity grow, metadata management is even more critical to derive business value from the gigantic amounts of data. . What is Metadata? Who created this data?

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

The healthcare industry faces arguably the highest stakes when it comes to data governance. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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A look into IBM’s AI ethics governance framework

IBM Big Data Hub

Yet while 79% of executives say AI ethics is important to their enterprise-wide AI approach , less than 25% have operationalized ethics governance principles. Looking forward Using the framework described above, IBM advances ethical AI governance through its product offerings. and/or its affiliates in the U.S.