Read about the Defense Logistics Agency's efforts to automate technical data management and enhance operational efficiency.

Most data should be subject to very specific and prescriptive lifecycle management practices. Data should have a beginning, middle and end. Whether data is generated within your organization or ...

Data lifecycle management is essential to ensure it is managed effectively from creation, storage, use, sharing, and archive to the end of life when it is deleted. Data lifecycle management covers ...

Data management is a total life cycle information system that follows data from the moment it’s created until it ceases to be useful. As such, it involves tracking data from place to place ...

“[Consolidation will] allow me to effectively manage storage allocations and data retention ... and driving a move toward information life-cycle management (ILM), a nascent concept for managing ...

including enterprise resource planning and product life cycle management systems. Digitalization and integration initiatives fail because 90% of the data needed to make product decisions sits in ...

This is called data lifecycle management. But let’s define data lifecycle management (or DLM) in a bit more depth. DLM refers to the end-to-end process of managing data throughout its entire lifespan, ...

Data lifecycle management software lets businesses develop rules to more efficiently deal with different types of data and ensure its proper handling. Dont miss our Web-based eSeminar, featuring ...

HOUSTON--(BUSINESS WIRE)--Hewlett Packard Enterprise (NYSE: HPE) today announced new file, block, disaster and backup recovery data services designed to help customers eliminate data silos, reduce ...