Information Life Cycle Management
Define and manage the life cycle for business, technical, and forensics data and information to ensure that it is accurate, available, and accessible, and that it is removed at the end of its useful life. Life cycle management extends to archive maintenance.
Improvement Planning
Practices-Outcomes-Metrics (POM)
Representative POMs are described for Information Life Cycle Management at each level of maturity.
- 2Basic
- Practice
- Develop and implement life cycles for critical and voluminous data and information.
- Outcome
- Some data purge capabilities are enabled.
- Metrics
- # of life cycles in use.
- % of the data/information life cycle that is managed.
- 3Intermediate
- Practice
- Build life cycle management into processes, systems, and employee work practices.
- Outcome
- Data and information costs are aligned with revenue, and data and information can be purged at end of life.
- Metrics
- # of life cycles in use.
- % of the data/information life cycle that is managed.
- Practice
- Have information life cycle states influence access controls and rights to ensure information is accessible and available to those who need it.
- Outcome
- Data and information are available based on role and the life cycle state of the data.
- Metrics
- # of storage platform moves related to the life cycle.
- # of role life cycle integrations.
- Practice
- Apply formal information life cycle concepts to data management tasks.
- Outcome
- For key business functions, the organization has end-to-end accountability and responsibility for data management.
- Metric
- # of documented information chains with processes addressing all relevant life cycle stages.
- 4Advanced
- Practice
- Design, develop, implement, and manage life cycles for business, technical, and forensics information ‒ to ensure the information is available when needed.
- Outcome
- Sophisticated, cost-effective, and well managed information life cycles ensure that information is available when, where, and how it is needed.
- Metrics
- Frequency of data access metrics.
- # of life cycles in use.
- % of the data/information life cycle that is managed.
- Practice
- Use sophisticated life cycle designs that incorporate roles and access rights for each stage.
- Outcome
- There is end-to-end accountability and responsibility for data management across the entire organization.
- Metric
- # of storage platform moves related to the life cycle.
- 5Optimized
- Practice
- Use cost conscious life cycle designs that migrate data to lower cost storage tiers as its value, frequency of use, and availability needs change.
- Outcome
- Information storage and retrieval costs are systemically kept down while service is maintained at levels appropriate to the life cycle stage.
- Metric
- % of stages that include cost considerations.