Data Life Cycle

  1. Plan: Decide what kind of data is needed, how will it be managed, and who will be responsible for it.
  2. Capture: Collect data from various different sources.
  3. Manage: Maintain the data and it includes determining how and where the data is stored and the tools used to do so.
  4. Analyse: Use the data to solve problems, make decisions, and support business goals.
  5. Archive: Keep relevant data stored for long-term and future reference.
  6. Destroy: Remove data from storage and delete any shared copies of the data.

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Navya G

Navya G

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Lead Technical writer for Data Platform & loves to share my learnings about data, productivity, tech writing, self-help & more|A Data Analytics aspirant