The definition provided by DAMA International, the professional organization for the data management profession, is: "Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise." This broad definition encompasses professions which may not have direct technical contact with lower-level aspects of data management, such as relational database management.
Alternatively, the definition in the DAMA Data Management Body of Knowledge () is: "Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets."
The concept of data management arose in the 1980s as technology moved from sequential processing (first cards, then tape) to random access storage. Since it was now possible to store a discreet 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 software applications 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.
Corporate data quality management (CDQM) is, according to the European Foundation for Quality Management and the Competence Center Corporate Data Quality (CC CDQ, University of St. Gallen), the whole set of activities intended to improve corporate data quality (both reactive and preventive). Main premise of CDQM is the business relevance of high-quality corporate data. CDQM comprises with following activity areas:.
The DAMA Guide to the Data Management Body of Knowledge" (DAMA-DMBOK Guide) was published in 2009 under the guidance of a new editorial board.
In modern management usage, the term data is increasingly replaced by information or even knowledge in a non-technical context. Thus data management has become information management or knowledge management. This trend obscures the raw data processing and renders interpretation implicit. The distinction between data and derived value is illustrated by the information ladder. However, data has staged a comeback with the popularisation of the term Big_data, which refers to the collection and analyses of massive sets of data.
Several organisations have established data management centres (DMC) for their operations.
Integrated data management (IDM) is a tools approach to facilitate data management and improve performance. IDM consists of an integrated, modular environment to manage enterprise application data, and optimize data-driven applications over its lifetime. IDM's purpose is to:
A Data Management Framework (DMF) is a system of thinking, terminology, documentation, resources and insights which allows users to view data related concepts and information in their own context, and in the broader context of the framework, thereby enabling them to integrate their conversations and work.
There are a number of DMFs available.
William Richard Evans, of South Africa, has developed three Fully Integrated Data Management Frameworks: The Data Atom Data Management Framework version 1.0 was developed between 2010 and 2014. Version 2.0 was developed between 2014 and 2017. With the advent of artificial intelligence, the Internet of Things and data lakes, version 2.0 was replaced with the more comprehensive Multi Dimensional Data Management Framework V3.0. It covers 20 data management disciplines and 7 data environments.
4.4 Data Management Center (DMC)[:] The Data Management Center is the data center for all of the deployed cluster networks. Through the DMC, the LMF allows the user to list the services in any cluster member belonging to any cluster [...].