Data Governance
According to Dataversity.net, Data 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.[1]
“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.”[2]
The DAMA-DMBOK2's definition of Data Governance is, "the exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets."[3]
While Gartner defines Data Governance as "the specification of decision rights and an accountability framework to ensure the appropriate behavior in the valuation, creation, consumption and control of data and analytics."[4]
- ↑ https://www.dataversity.net/what-is-data-governance/
- ↑ The Data Governance Institute, Definitions of Data Governance
- ↑ DAMA-DMBOK2, 3.1 Data Governance, p.67
- ↑ https://www.gartner.com/en/information-technology/glossary/data-governance