Establish and update the value of data and information assets based on criteria such as economic, financial, reputational, and technical risk, as well as on age, frequency of use, and position within the information life cycle.
Define and maintain one or more master datasets, and synchronize them across relevant processes and systems. Define the data patterns and the quality standards to which data must conform in each stage of its life cycle.
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.