Difference between revisions of "Data Management"
Jump to navigation
Jump to search
Karla.diel (talk | contribs) (Created page with "[https://dama.org/content/what-data-management The Data Management Body of Knowledge (DMBOK)] refers to Data Management as: “The development, execution, and supervision of...") |
Karla.diel (talk | contribs) |
||
| Line 1: | Line 1: | ||
[https://dama.org/content/what-data-management The Data Management Body of Knowledge (DMBOK)] refers to Data Management as: | [https://dama.org/content/what-data-management The Data Management Body of Knowledge (DMBOK)] refers to Data Management as: | ||
| − | “The development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles.”<ref><nowiki>https://dama.org/content/what-data-management</nowiki></ref> | + | “The development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles.”<ref name=":0"><nowiki>https://dama.org/content/what-data-management</nowiki></ref> |
| + | |||
| + | Data management (DM) consists of the practices, architectural techniques, and tools for achieving consistent access to and delivery of data across the spectrum of data subject areas and data structure types in the enterprise, to meet the data consumption requirements of all applications and business processes.<ref name=":0" /> | ||
Revision as of 08:18, 30 March 2020
The Data Management Body of Knowledge (DMBOK) refers to Data Management as:
“The development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles.”[1]
Data management (DM) consists of the practices, architectural techniques, and tools for achieving consistent access to and delivery of data across the spectrum of data subject areas and data structure types in the enterprise, to meet the data consumption requirements of all applications and business processes.[1]
