Data Management is a comprehensive collection of practices, concepts, procedures, processes, and a wide range of accompanying systems that allow for an organization to gain control of its data resources. Data Management as an overall practice is involved with the entire lifecycle of a given data asset from its original creation point to its final retirement, how it progresses and changes throughout its lifetime through the internal (and external) data streams of an enterprise.
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.”
A Data Management Professional is:
“Any person who works in any facet of data management…[and] fills numerous roles, from the highly technical (e.g., database administrators, network administrators, programmers) to strategic business (e.g., Data Stewards, Data Strategists, Chief Data Officers).”
The practice of Data Management includes an extensive list of associated and related topics which span the entire process of managing and leveraging data at all levels.
A Short List of Data Management Practices and Concepts are:
- Data Governance and Data Stewardship
- Data Architecture
- Data Modeling
- Data Quality
- Data Integration
- Master and Reference Data Management
- Data Warehousing
- Data Storage and Big Data
- Business Intelligence and Analytics
- Metadata Management
- Data Security
- Document and Content Management
A well-developed Data Management program within an organization has the ability to positively effect change around the administration and use of data assets across all levels, departments, and lines of business.
The Benefits of Data Management Include:
- Improved operations management.
- More effective marketing and sales.
- Better regulation and compliance controls.
- Enhanced security and privacy.
- Reduction of risk across the board.
- Faster application and system development.
- Improved decision making and reporting.
- Sustained business growth.
- Business and technical alignment.
- Automated and/or streamlined operations.
- Greater collaboration and revenue growth.
- More consistency across all enterprise processes.
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