It seems like there are two types of Data Governance and Stewardship programs:

  1. Thriving ones, with highly-engaged stakeholders, and
  2. Ones whose futures are in question, since stakeholders and stewards are only sporadically involved or give only weak support to the program.
Engaging Data Stewards and Stakeholders

“How can I make my stewards come to council meetings?” I’m sometimes asked, and my truthful reply is that you can’t – at least not in a sustainable fashion.

But you can convince them to participate. Here’s how.

 

1. Choose the right model for introducing your program.

  • The “Call to Action” model – Participants are asked to address an urgent objective, with the vocal support of leadership.
  • The “Influence the Influencer” model – Data Governance leaders only involve a few influential stakeholders initially, and then grow the program with their help.
  • The “Tom Sawyer” model – Data Governance participants begin by performing data-related tasks which deliver such value (and are so rewarding to perform) that others across the organization ask to take part and share the work.
  • The “Fait Accompli” model – Individuals are guided through a series of activities. Once the work is successfully completed, participants are informed that they have been “doing” governance or stewardship.
  • The “Organic Growth” model – Stewardship activities are positioned as natural extensions to other tasks.

 

2. Demonstrate “what’s in it for them.”

Once potential Data Stewards get through their first council meeting, you should expect them to question whether they should continue to participate. You should have an answer ready for them – and repeat the message at every meeting.

Even participants who believe Data Governance and Stewardship is good to the enterprise will question whether their group needs to participate and whether they personally need to. Sometimes the answer is “no” or “just sometimes.” If this is the case, acknowledge it. On the other hand, if you feel its’ important for someone to participate all the time, you should develop and communicate a strong value proposition for their participation. Some of those arguments will no doubt focus on the benefits to the enterprise, but be sure you also have clear statements of the benefits to them.

 

3. Don’t waste anyone’s time.

Don’t hold meetings just for the sake of having meetings. Remember that your participants may be very in-demand. If you don’t have decisions to make or impacts to consider or other important work, consider canceling your meeting. If you know that only a few members will care about certain topics, then consider forming working groups that meet more often than the full council.

 

4. Remind participants of their accomplishments.

At every meeting, clearly describe what the group is there to accomplish. Remind participants why this can’t be successfully managed any other way. At the end of a meeting, list the day’s accomplishments (decisions made, cross-functional impacts assessed, assumptions turned into actionable knowledge, etc.). Congratulate your participants.

 

5. Publicize your accomplishments.

Make sure that your participants’ peers and superiors lean what you’re doing and what you’re accomplished. Capture metrics, but – even more importantly – build stories. Did your group keep the organization from a mistake? That’s a win. Help a data stakeholder increase revenue? Win. Are you on the critical path for achieving compliance? Value delivered. Share knowledge that would help managers make better decision? Tell them.

Read Next:

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 –...

Starting a Data Governance Program

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. Those...

Implementing Change Management

Most organizations have string change management – or at least change control – mechanisms for technology. They usually have change management for software applications. They have change management for websites. And yet, many organizations do not practice structured...

Assigning Data Ownership

One of the tenets of Data Governance is that enterprise data doesn’t “belong” to individuals. It is an asset that belongs to the enterprise. Still, it needs to be managed…

Data Governance Program Phases

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: 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 &...

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...

Working with Data Stewards

Approaches to Assigning Data Ownership and Stewardship Organizations can take multiple approaches to assigning Data Owners and Data Stewards for enterprise data. In doing so, they need to consider several factors and answer the following questions.Question #1:  Should...

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...

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.