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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. erwin Data Intelligence (DI) for Data Governance erwin DI combines data catalog and data literacy capabilities to provide awareness of and access to available data assets.

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Information Governance – The Secret to Monetizing Data

Grooper

Responsibility for managing your company’s data must be clearly defined and supported. Articulating strategy in terms of business outcome is key. For example, business growth, profits, cost and performance optimization, efficiency, compliance, and risk management. Want to test your governance level?

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Allows metadata repositories to share and exchange.

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The art and science of data product portfolio management

AWS Big Data

These may be data products consumed in the implementation of key business activities, or associated with critical processes such as regulatory reporting and risk management. Availability Management X X. Capacity and Performance Management X X. Incident Management X X. Monitoring and Event Management X X.