Data lifecycle management tips for CIOs
Data lifecycle management is a policy-based approach to managing the flow of an information system's data throughout its lifecycle: from creation and initial storage to the time when it becomes obsolete and is deleted. This CIO Briefing provides case studies, news articles and trend pieces related to the strategies, execution and tools and technologies of data lifecycle management.
Data lifecycle management calls for determining the best methods for your business to catalogue and preserve its data. Find out how to properly execute on your data lifecycle management objectives to make sure your data is where you want, when you want it.
Proper data lifecycle management is no slapdash operation: Those in charge of the operation must foresee their data's progression from its figurative birth to death, paying special attention to all of the milestones in between. The following stories will help you better strategize your approach to managing the data lifecycle.
Data lifecycle management products automate 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. Learn which tools and technologies will allow you to capitalize on all the benefits that data lifecycle management has to offer your organization.