Knowledge ManagementData Life-Cycle Management
Data Life-Cycle Management is a comprehensive approach to managing the flow of an information system's data and associated metadata from creation and initial storage to the time when it becomes obsolete and is deleted.
As much as 80% of data is inactive but...
- it consumes expensive storage capacity
- it gets manageed, backed up, replicated, etc.
- it has significant legal and compliance risks
- it all has to be recovered in a DR scenerio
Lumenate Technical Consultants have many years experience automating the processes involved, typically organizing data into separate tiers according to specified policies, and automating data migration from one tier to another based on those criteria. For example, newer data, and data that must be accessed more frequently, is stored on faster, but more expensive storage media, while less critical data is stored on cheaper, but slower media.
Although every company is unique, Lumenate has found that the Hierarchy of Needs for Data Life-Cycle Management (DLM) has universal appeal across industries, size and complexity. Much like Maslow's Hiererachy of Needs, Lumenate's Hierarchy of Needs idenitifies the typical priorities needed for effective and efficient investments.
