Data life cycle

Last updated Jun 5, 2023

Data life cycle:

• Planning
  • Decide what kind of data is needed, how it will be managed, and who will be responsible for it.
  • Project planning
• Capture
  • Collect or bring in data from a variety of different sources.
• Manage
  • Care for and maintain the data. This includes determining how and where it is stored and the tools used to do so.
• Analyze
  • Use the Data to solve problems, make decisions, and support business goals.
• Archive
  • Keep relevant data stored for long-term and future reference.
• Destroy
  • Remove data from storage and delete any shared copies of the data.