The DGI Data Governance Framework is a logical structure for
classifying, organizing, and communicating complex activities
involved in making decisions about and taking action on enterprise data.
Why was the DGI Data Governance Framework
Frameworks help us organize how we think and communicate about
complicated or ambiguous concepts. In recent years, the term "Data Governance"
has been used by academics, theorists, managers, and vendors to mean
many different things - rules, rules of engagement, people, process, and tools.
The Data Governance Institute wanted to introduce a practical
and actionable definition and supporting materials that could help
a variety of Data Stakeholders from Business, IT, Data Management, Compliance, and other disciplines come together to achieve clarity of thought and purpose.
Does our organization need a Data Governance framework?
All organizations need to be able to make decisions about how to manage data, realize value from it, minimize cost and complexity, manage risk, and ensure compliance with ever-growing legal, regulatory, and other requirements. Management and staff need to make good decisions - decisions that stick. They need to reach consensus on how to "decide how to decide." They need to create rules, ensure that the rules are being followed, and to deal with noncompliance, ambiguities, and issues.
In short, they need to do more than manage data; they need a governance system that sets the rules of engagement for management activities. Small organizations, or ones with simple data environments, may be able to succeed in these goals through an informal system of governance. They may not even be aware of when they are switching between making management decisions and broader governance decisions. On the other hand, larger organizations, or ones with more complex data or compliance environments, generally find that they need to step back and agree upon a more formal system of governance. The DGI Data Governance Framework is designed to assist these organizations.