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general_term:data_management [2023/06/09 13:19]
peter
general_term:data_management [2024/03/08 13:33] (current)
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 Data management is [[general_term:management|management]] with regard to [[data_concept:data|data]]. Data management is [[general_term:management|management]] with regard to [[data_concept:data|data]].
  
-===Notes=== +===DMBOK2=== 
-Another definition of data management isthe 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 (DMBOK, 2017).+Data management is 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.
  
-The term data management is an umbrella term for any activity that has to do with managing data as an asset.+===Relations=== 
 +|Data management|is child of|[[general_term/management|management]]| 
 +|Data management| consists of knowledge area|[[general_term:data_governance|data governance]]| 
 +|Data management| consists of knowledge area|data modeling & design| 
 +|Data management| consists of knowledge area|data storage & operation| 
 +|Data management| consists of knowledge area|[[data_management_system/data_security|data security]]| 
 +|Data management| consists of knowledge area|data integration & interoperability| 
 +|Data management| consists of knowledge area|document & content management| 
 +|Data management| consists of knowledge area|[[data_concept:reference_data|reference]] & [[data_concept:master_data|master data]]| 
 +|Data management| consists of knowledge area|data warehousing & business intelligence| 
 +|Data management| consists of knowledge area|[[data_quality_management_system:metadata|metadata]]| 
 +|Data management| consists of knowledge area|[[data_quality_general:data quality|data quality]]| 
 +|Data management| consists of knowledge area|[[data_utilization_management_system:data_architecture|data architecture]]| 
 +DAMA Wheel with knowledge areas:
  
-===Maturity of the data management industry === 
-Relatively, the data management industry is quite young. The main practices and knowledge engineering has been happening in the last 1-2 decades. 
- 
-Data management aspires to attain: 
-  * Maturity of the industry like accounting, medicine 
-  * Globally recognised standards such as Project Managers have PMI and Prince and Service Managers have ITIL and ITIL certifications 
-  * Common language – better quality methods and will improve ability to collaborate within the industry 
- 
-===Relations=== 
-Data management consists of 11 knowledge areas according to DAMA International: 
-  - [[general_term:data_governance|Data governance]] 
-  - Data modeling & design 
-  - Data storage & operation 
-  - Data security 
-  - Data integration & interoperability 
-  - Document & content management 
-  - [[data_concept:reference_data|Reference]] & [[data_concept:master_data|master data]] 
-  - Data warehousing & business intelligence 
-  - [[data_quality_management_system:metadata]] 
-  - [[data_quality_general:data quality]] 
-  - Data architecture 
 {{:general_term:dama_wheel_2017.jpg?200 |}}\\  {{:general_term:dama_wheel_2017.jpg?200 |}}\\ 
  
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   * DAMA-DMBOK (2017). Data management body of knowledge.   * DAMA-DMBOK (2017). Data management body of knowledge.
   * CMDP. [[https://cdmp.info/about/|About Data management aspirations.]]. Retrieved 2023/03/01.   * CMDP. [[https://cdmp.info/about/|About Data management aspirations.]]. Retrieved 2023/03/01.
 +
 +{{tag>All DMBoK2}}
  
  
  
  
general_term/data_management.1686316747.txt.gz · Last modified: 2024/03/08 13:34 (external edit)