"The day-to-day tasks necessary to tactically manage data, including overseeing its quality, lineage, usage, and deployment across systems, organizations, and user communities." (Jill Dyché & Evan Levy, "Customer Data Integration", 2006)
"A corporate service which helps with the provision of information services by controlling or coordinating the definitions and usage of reliable and relevant data." (Keith Gordon, "Principles of Data Management", 2007)
"The policies, procedures, and technologies that dictate the granular management of data in an organization. This includes supervising the quality of data and ensuring it is used and deployed properly." (Tony Fisher, "The Data Asset", 2009)
"Structured approach for capturing, storing, processing, integrating, distributing, securing, and archiving data effectively throughout their life cycle." (Linda Volonino & Efraim Turban, "Information Technology for Management 8th Ed", 2011)
"The business function that develops and executes plans, policies, practices, and projects that acquire, control, protect, deliver, and enhance the value of data." (DAMA International, "The DAMA Dictionary of Data Management", 2011)
"The process of managing data as a resource that is valuable to an organization or business, including the process of developing data architectures, developing practices and procedures for dealing with data, and then executing these aspects on a regular basis." (Jim Davis & Aiman Zeid, "Business Transformation", 2014)
"Processes by which data across multiple platforms is integrated, cleansed, migrated, and managed." (Hamid R Arabnia et al, "Application of Big Data for National Security", 2015)
"The full lifecycle care of organizational data assets, through the implementation of accepted good practice, to develop and maintain their value." (Kevin J Sweeney, "Re-Imagining Data Governance", 2018)
"Controlling, protecting, and facilitating access to data in order to provide information consumers with timely access to the data they need. The functions provided by a database management system." (Information Management)
"The development and execution of architectures, policies and practices to manage the data life-cycle needs of an enterprise." (Solutions Review)
"The policies, procedures, and technical choices used to handle data through its entire lifecycle from data collection to storage, preservation and use. A data management policy should take account of the needs of data quality, availability, data protection, data preservation, etc." (Open Data Handbook)
"The processes, procedures, policies, technologies, and architecture that manage data from definition to destruction, which includes transformation, governance, quality, security, and availability throughout its life cycle." (Forrester)
"The process by which data is acquired, validated, stored, protected, and processed. In turn, its accessibility, reliability, and timeliness is ensured to satisfy the needs of the data users. Data management properly oversees the full data lifecycle needs of an enterprise." (Insight Software)
"Data management comprises all the disciplines related to ingesting, organizing, and maintaining data as a valuable resource." (OmiSci) [source]
"Data management consists of practices and tools used to ingest, store, organize, and maintain the data created and gathered by an organization in order to deliver reliable and timely data to users." (Qlik) [source]
"Data management is a strategy used by organizations to make data secure, efficient, and available for any relevant business purposes." (Xplenty) [source]
"Data management is the implementation of policies and procedures that put organizations in control of their business data regardless of where it resides. […] Data management is concerned with the end-to-end lifecycle of data, from creation to retirement, and the controlled progression of data to and from each stage within its lifecycle." (Informatica) [source]
"The function of controlling the acquisition, analysis, storage, retrieval, and distribution of data." (IEEE 610.5-1990)
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