A successful Data Governance program does not begin with the design of the program!

  • Before you start deciding who goes on what committee, you should be clear about your program’s value statement.
  • You should have developed a roadmap to share with stakeholders.
Starting a Data Governance Program
  • Those stakeholders will want to know the WHO / WHAT / WHEN / WHERE / WHY / HOW of your program before they decide to support it, so you’ll need to anticipate their questions and have preliminary answers, even if they’re only assumptions until you do your actual program design.

 

You’ll want to build the type of program that your stakeholders will be excited about. The Data Governance programs we’ve seen that are the most successful are ones with a clear focus, metrics that excite leadership, a value proposition that everyone can get behind, and a clear message.

Don’t worry if this isn’t real obvious to you. After all, we’re all familiar with the concept of not being able to see the forest for the trees. What if you ARE one of the trees?

Consider getting a fresh viewpoint from someone within your organization (or from outside) who can help you describe your vision and set an approach to:

    1. Develop a value statement
    2. Prepare a roadmap
    3. Plan and fund
    4. Design
    5. Deploy
    6. Govern
    7. Monitor, measure, report

      Read Next:

      Focus Areas for Data Governance: Management Alignment

      This type of program typically comes into existence when managers find it difficult to make “routine” data-related management decisions because of their potential effect on operations or compliance efforts.Managers may realize they need to come together to make...

      Governance and Decision-Making

      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...

      Focus Areas for Data Governance

      All Data Governance programs are not alike. Quite the contrary: programs can use the same framework, employ the same processes, and still appear very different. Why is this? It’s because of what the organization is trying to make decisions about or enforce rules for....

      Focus Areas for Data Governance: Data Quality

      This type of program typically comes into existence because of issues around the quality, integrity, or usability of data. It may be sponsored by a Data Quality group or a business team that needs better quality data. (For example: Data Acquisition or  Mergers &...

      Goals and Principles for Data Governance

      What do you want Data Governance to accomplish?  Regardless of the focus of your program, chances are you hope to accomplish the following universal goals for Data Governance programs: Goal – Enable better decision-making Goal – Reduce operational friction Goal –...

      Governance and Alignment

      Data Governance is a balancing act. On the one hand, you need to exert control over how groups create data, manage data, and use data. On the other hand, you need to promote appropriate levels of flexibility. You need to ensure that data-related efforts support the...

      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.

      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.

      Setting Governance Roles and Responsibilities

      Who does what in a Data Governance program? First, a group of individuals (or a hierarchy of groups) representing a cross-section of stakeholder groups makes a set of rules in the form of policies, standards, requirements, guidelines, or data definitions. (Or, they...

      Governance and Issue Resolution

      One of the three most important jobs of a Data Governance program is to help resolve data-related issues. These may be conflicting data definitions, data usage concerns, or problems with how data is sourced, how it is integrated, how it is protected, or a myriad of...