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Data Lifecycle Management

May 2026
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Publisher : Creative.onl

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This article explains data lifecycle management and its crucial role in maintaining data quality, compliance, and usability across organizations. It emphasizes the need for a structured approach to managing data from its creation to its eventual disposal. The article outlines the key stages of the data lifecycle, including data acquisition, storage, processing, and disposal, and stresses how organizations must implement policies and processes to ensure data integrity and compliance with regulations. By focusing on lifecycle management, organizations can ensure that their data remains accurate, secure, and usable throughout its existence, supporting informed decision-making and regulatory adherence.

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Creative.onl

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Data Science for social impact

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Technology for Social Change and Organisational Efficiency

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