Remember our (long) definition for Data Governance?

“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.”

Yes, Data Governance is about enforcing rules. But just as important, usually, is ensuring that the right stakeholders are involved in making the rules.

Sometimes – especially for compliance-related rules – it’s easy to know who should decide on a rule. But other times it’s hard. And most organizations have lots of examples from their own histories of decisions that were made without input from key stakeholders. They can tell stories of the problems created when the right groups were not consulted.

So a best practice is that before any rule is created or any data-related decision is made, a prior decision must be addressed: who gets to make the decision, and when, and using what process?

This practice is called establishing “Decision Rights” for the decision.

It is the responsibility of Data Governance program facilitators to know (or discover) who should be involved in making different types of governance decisions. It is also generally a responsibility of the program to facilitate (and to sometimes document and store) the collection of decision rights that are the “metadata” of data-related decisions.

As you perform the activities needed to gain support and funding, remember that your program may plan to address multiple focus areas. Each new effort should be introduced using the seven steps of the life cycle. Even specific governance-led projects, such as creating a set of data standards, will want to follow the Data Governance Life Cycle steps.

Focus Areas for Data Governance: Privacy, Compliance, Security

This type of program typically comes into existence because of concerns about Data Information Security controls, or compliance. Compliance, in this context, may refer to regulatory compliance, contractual compliance, or compliance with internal requirements.This...

Defining Data Governance

How you define your program will influence your ability to manage it — to keep all participants on focus, in sync, and striving toward the same goals.

Dealing With Politics

It’s essential that Data Governance and Stewardship program facilitators avoid being “caught up” in politics. It’s our jobs to acknowledge the realities of the situations we work with, while avoiding taking sides or engaging in behaviors that could be perceived as favoring one set of data stakeholders at the expense of others.

Funding Models: Funding Data Governance

The DGI Data Governance Framework addresses funding two ways: Obtaining funding and support is a phase in the Data Governance Life Cycle Funding is part of one of the components of the framework. What type of funding is needed? Data Governance programs need to...

Defining Organizational Structures

There is no single “right” way to organize Data Governance and Stewardship. Some organizations have distinct Data Governance programs. Others embed Data Governance activities into Data Quality or Master Data Management programs.