You are here:  Home  >  Data Education  >  Current Article

What is Data Governance?

By   /  December 18, 2017  /  No Comments

data governanceData Governance is a collection of practices and processes which help to ensure the formal management of data assets within an organization. Data Governance often includes other concepts such as Data Stewardship, Data Quality, and others to help an enterprise gain better control over its data assets, including methods, technologies, and behaviors around the proper management of data. It also deals with security and privacy, integrity, usability, integration, compliance, availability, roles and responsibilities, and overall management of the internal and external data flows within an organization.

Other definitions of Data Governance include:

  • “Data Governance is the exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets.” (DAMA International)
  • “Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.” (Data Governance Institute)


Effective Data Governance provides numerous benefits to an organization including (but not limited to):

  • Decrease the costs associated with other areas of Data Management.
  • Ensure accurate procedures around regulation and compliance activities.
  • Increase transparency within any data-related activities.
  • Help with instituting better training and educational practices around the management of data assets.
  • Increase the value of an organization’s data.
  • Provide standardized data systems, data policies, data procedures, and data standards.
  • Aid in the resolution of past and current data issues.
  • Facilitate improved monitoring and tracking mechanisms for Data Quality and other data-related activities.
  • Increase overall enterprise revenue.



Photo Credit: arka38/Shutterstock.com

About the author

Charles Roe is the Digital Content Manager at DATAVERSITY. He is responsible for both the article and blogging programs, as well as the DATAVERSITY Training Center. He has been a professional freelance writer and copy editor for more 15 years, and has been writing for the Data Management industry since 2009. Charles has written on a range of industry topics in numerous articles, white papers, and research reports including Data Governance, Big Data, NoSQL technologies, Data Science, Cognitive Computing, Business Intelligence & Analytics, Information Architecture, Data Modeling, Executive Management, Metadata Management, and a host of others. Charles is backed with advanced degrees in English, History, and a Cambridge degree in Language Instruction. He worked for almost 20 years as an instructor of English, History, Culture, and Writing at the college level in the USA, Europe, and Turkey. He writes creatively in his spare time.

You might also like...

Data Management and the Internet of Things

Read More →