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Data Lifecycle Management focuses on data governance, data cleansing and quality, and data stewardship. The rubric applies to articles that focus primarily on the high-level preparation, flow, and use of data through an organization, rather than with one single facet such as storage or analysis.

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The hidden price of not being AI-ready

  • Rudrendu Paul 

Discover the hidden price of not being AI-ready. Learn how enterprise legacy data warehouses accumulate technical debt, and calculate the true Total Cost of Inaction.

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