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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? Unclear change management process: There’s little or no formality around what happens when a data source changes.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? Unclear change management process: There’s little or no formality around what happens when a data source changes.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.