Data management processes typically involves activities such as data sourcing, cross-referencing, and ironing out any discrepancies via reconciliations and data cleansing.
Data analytics processes are typically carried out afterwards in a variety of desk-level tools and libraries, close to the business users and typically operating on separately stored data subsets.