A data governance framework is critical to any organization that uses analytics as part of its decision-making process.
An organization’s data governance framework is a documented set of guidelines designed to ensure the proper use of its data. Among the guidelines are policies related to data quality, security and privacy, and who has access to what data and who can do what with that data.
For example, while an end user might have access to an organization’s sales figures, only its system administrators can work with that data and make any changes to reports or data models.
In addition, a data governance framework includes implementing the guidelines and making sure they’re followed.
Without that framework, organizations risk noncompliance with government regulations and data breaches that could sacrifice an enterprise’s competitive advantage or reveal private personal information.
“Data governance is, first and foremost, about addressing responsibilities and risks,” said Doug Henschen, principal analyst at Constellation Research.
The risks for unregulated or lightly regulated organizations are less than those for organizations that operate in more highly regulated environments, but they’re significant nonetheless, Henschen added.
For unregulated or lightly regulated organizations, the misuse of data or a data breach could result in