The resourcing and deployment strategy for data management resources are developed based on objectives, within the parameters of the organization’s culture and existing structures that the function will integrate. In most organizations, data management function has been operational for a number of years, typically originating in IT and closely linked to development of data stores. As organizations have started to view data as strategic asset, the function and activities have expanded with new roles defined.     Data management function includes the end-to-end data lifecycle that runs from creation of data assets through their useful life in the business and eventual archiving or destruction. The organization will benefit from defining data usage and dependencies across business processes for data that is either critical for an important business function or needed by multiple business processes. Data lifecycle phases include the following:
  • Data creation: This phase includes defining data requirements based on business objectives and creation of data
  • Data conversion: This phase includes transforming data from disparate sources into a standard and consistent form (a single version of truth)
  • Data conservation: This phase includes storing data in warehouses and marts for business usage
  • Data consumption: This phase includes transformation of data into information and knowledge and consumption by end users in the form of reports, dashboards, analytics, etc.