Definition[edit | edit source]

The data life cycle is

the set of processes in an application that transform raw data into actionable knowledge.[1]

Overview[edit | edit source]

"[T]he data life cycle consists of the following four stages:

  1. Collection: This stage gathers and stores data in its original form (i.e., raw data).
  2. Preparation: This stage involves the collection of processes that convert raw data into cleansed, organized information.
  3. Analysis: This stage involves the techniques that produce synthesized knowledge from organized information.
  4. Action: This stage involves processes that use the synthesized knowledge to generate value for the enterprise."[2]

References[edit | edit source]

See also[edit | edit source]

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