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Data lifecycle management is a critical process for data operations, as it ensures that data processing, analysis, and sharing are all streamlined. The flow of data is considered and data friction points are reduced to increase data value and ROI. An effective data lifecycle management process can identify and smooth obstacles as soon as they appear.
Additionally, data lifecycle management is important for delivering on several key functions and responsibilities of your DataOps team, including regulatory compliance and data interoperability.