Data management

Data Management comprises all disciplines related to managing data as a valuable resource.

The data lifecycle

Concept

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

Topics in data management include:

1. Data Governance
   • Data asset
   • Data governance
   • Data steward
   • Data Ethics
2. Data Architecture
   • Data architecture
   • Data flows
3. Data modeling and Design
4. Database & Storage Management
   • Data maintenance
   • Database administration
   • Database management system
   • Business continuity planning
   • Data subsetting
5. Data Security
   • Data access
   • Data erasure
   • Data privacy
   • Data security
6. Reference and Master Data
   • Data integration
   • Master data management
   • Reference data
7. Data Integration and Inter-operability
   • Data movement (Extract, transform, load )
   • Data Interoperability
8. Documents and Content
   • Document management system
   • Records management
9. Data Warehousing and Business Intelligence
   • Business intelligence
   • Data analysis and Data mining
   • Data warehouse and Data mart
10. Metadata
    • Metadata management
    • Metadata
    • Metadata discovery
    • Metadata publishing
    • Metadata registry
11. Data Quality
    • Data discovery
    • Data cleansing
    • Data integrity
    • Data enrichment
    • Data quality
    • Data quality assurance
    • Secondary data

Usage

In modern management usage, the term data is increasingly replaced by [

Several organisations have established data management centers (DMC) for their operations.[1]

Integrated data management

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-d

• Automate and simplify operations
• Provide contextual intelligence across the solution stack
• Support business growth
• Accommodate new initiatives without expanding infrastructure
• Simplify application upgrades, consolidation and retirement
• Facilitate alignment, consistency and governance
• Define business policies and standards up front; share, extend, and apply throughout the lifecycle

See also

• Open data
• FAIR data
• Pseudonymization
• Information architecture
• Enterprise architecture
• Information design
• Information system
• Controlled vocabulary
• Data curation
• Data retention
• Data management plan
• Computer data storage
• Data proliferation
• Digital preservation
• Document management
• Enterprise content management
• Hierarchical storage management
• Information repository
• Machine-Readable Documents
• Performance report
• System integration
• Customer data integration
• Identity management
• Identity theft
• Data theft
• ERP software
• CRM software

References

1. For example: Kumar, Sangeeth; Ramesh, Maneesha Vinodini (2010). "Lightweight Management framework (LMF) for a Heterogeneous Wireless Network for Landslide Detection". In Meghanathan, Natarajan; Boumerdassi, Selma; Chaki, Nabendu; Nagamalai, Dhinaharan (eds.). Recent Trends in Networks and Communications: International Conferences, NeCoM 2010, WiMoN 2010, WeST 2010,Chennai, India, July 23-25, 2010. Proceedings. Communications in Computer and Information Science. 90. Springer. p. 466. ISBN 9783642144936. Retrieved 2016-06-16. 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 [...].

External links

• Media related to Data management at Wikimedia Commons
• Data management at Curlie