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.
- 1Initial
- Practice
- No formal life cycle practices are apparent.
- Outcome
- All data is treated the same and it is not possible to say when the business is finished using any data item.
- Metrics
- # Data life cycles in use.
- # Business-wide data or information life cycles.
- 2Basic
- Practice
- Develop and implement life cycles for critical and voluminous data and information.
- Outcome
- Some data purge capabilities are enabled.
- Metrics
- # Life cycles in use.
- % Data/information life cycle managed.
- 3Intermediate
- Practices
- Build life cycle management into processes, systems and employee work practices.
- Have information life cycle states influence access controls and rights to ensure information is accessible and available to those who need it.
- Apply formal Information Life Cycle concepts to Data Management tasks.
- Outcomes
- Data and information costs are aligned with revenue and data and information can be purged at end of life.
- Data and information are available based on role and life cycle state of the data.
- For key business functions organisation has end-to-end accountability and responsibility for quality.
- Metrics
- # Life cycles in use.
- % Data/information life cycle managed.
- # Storage platform moves related to life cycle.
- # role life cycle integrations.
- # of documented information chains with processes addressing all relevant Life Cycle stages.
- 4Advanced
- Practices
- Design develop, implement and manage life cycles for business, technical, and forensics information to ensure the information is available when needed.
- Use sophisticated life cycle designs that incorporate roles and access rights for each stage.
- Outcomes
- Sophisticated cost effective well managed information life cycles ensure information is available when, where, and how it is needed.
- Data removal is manageable.
- Metrics
- # Summary frequency of data access metrics.
- # Life cycles in use.
- % Data/information life cycle managed.
- # Storage platform moves related to life cycle.
- # role life cycle integrations.
- 5Optimized
- Practices
- Design, develop, implement and manage life cycles for business, technical, and forensics information to ensure the information is available while needed.
- Use sophisticated life cycle designs that incorporate roles and access rights for each stage.
- Use cost conscious life cycle designs that migrate data to lower cost storage tiers as its value, frequency of use and availability needs change.
- Outcomes
- Sophisticated cost effective well managed information life cycles ensure information is available when, where, and how it is needed.
- Data removal is manageable.
- Information storage and retrieval costs are systemically kept down while maintaining service levels appropriate to the life cycle stage.
- Metrics
- # Summary frequency of data access metrics.
- # Life cycles in use.
- % Data/information life cycle managed.
- # Storage platform moves related to life cycle.
- # role life cycle integrations.