Data management

Data management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems." However, during this period, random access processing was not competitively fast, so those suggesting "process management" was more important than "data management" used batch processing time as their primary argument. As application software evolved into real-time, interactive usage, it became obvious that both management processes were important. If the data was not well defined, the data would be mis-used in applications. If the process wasn't well defined, it was impossible to meet user needs. Topics in data management include: Data governance Data asset Data governance Data trustee Data custodian or guardian Data steward Data subject Data ethics Data architecture Data architecture Dataflows Data modeling and design Database and storage management Data maintenance Database administration Database management system Business continuity planning Hierarchical storage management Data subsetting Data security Data access Data erasure Data privacy Data security Reference and master data Data integration Master data management Reference data Data Integration and inter-operability Data movement (ETL, ELT) Data interoperability Documents and content Document management system Records management Data warehousing and business intelligence and Analytics Business intelligence Data analysis and data mining Data warehouse and data mart Data analytics Metadata Metadata management Metadata Metadata discovery Metadata publishing Metadata registry Data quality Data discovery Data cleansing Data integrity Data enrichment Data quality assurance Secondary data In modern management usage, the term data is increasingly replaced by information or even knowledge in a non-technical context.