What is Data Management?

By on

data managementData 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 Storage and Big Data
  • Business Intelligence and Analytics
  • Metadata 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.

All images used under license from Shutterstock.com

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept