The data life cycle is
|“||the set of processes in an application that transform raw data into actionable knowledge.||”|
"[T]he data life cycle consists of the following four stages:
- Collection: This stage gathers and stores data in its original form (i.e., raw data).
- Preparation: This stage involves the collection of processes that convert raw data into cleansed, organized information.
- Analysis: This stage involves the techniques that produce synthesized knowledge from organized information.
- Action: This stage involves processes that use the synthesized knowledge to generate value for the enterprise."