We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

Blog: Kelle O'Neal Subscribe to this blog's RSS feed!

Kelle O'Neal

Thanks for joining our data conversation! This blog is an opportunity to share the real life challenges, opportunities and approaches to improving the quality and value of data in your organization. We will write about everything data related from translating "data" speak into "business" speak, to governance models, to the real differences among the myriad software tools available. But there's one catch: we all have to agree to toss out the fluff. That's right, no 30,000 foot, theoretical strategies that leave you wondering how to execute and actually improve performance. Visit regularly to learn from peers and partners on how they are managing and improving data, and we hope you'll also share your views and experiences.

About the author >

As Founder and Managing Partner of First San Francisco Partners, Kelle O’Neal manages specialist data governance and data management consulting services to complex organizations that deliver faster time to results. Kelle can be reached at kelle@firstsanfranciscopartners.com or through the First San Francisco Partners website.

Follow First San Francisco Partners on Twitter at @1stSanFrancsico.

Editor's Note: Find more articles and resources in Kelle's BeyeNETWORK Expert Channel. Be sure to visit today!

In previous posts, we talked about how choosing the right operating model and employing organizational change management can impact the success and sustainability of your data governance program. Now we share our Top Eight Data Governance Design Principles (also published here) to help keep your program in the right direction.

1. Be clear on purpose
Build governance to guide and oversee the strategic and enterprise mission.

2. Use enterprise thinking
Provide consistency and coordination for cross-functional initiatives. Maintain an enterprise perspective on data.

3. Be flexible
If you make it too difficult, people will circumvent it. Make it customizable (within guidelines), and people will get a sense of ownership.

4. Simplicity and usability are the keys to acceptance
Adopt a simple governance model people can use. A complicated and inefficient governance structure will result in the business circumventing the process.

5. Be deliberate on participation and process
Select sponsors and participants. Do not apply governance bureaucracy solely to build consensus or to satisfy momentary political interest.

6. Align enterprise-wide goals
Maintain alignment with both enterprise and local business needs. Guide prioritization and alignment of initiatives to enterprise goals.

7. Establish policies with proper mandate and ensure compliance
Clearly define and publicize policies, processes and standards. Ensure compliance through tracking and audit.

8. Communicate, communicate, communicate!
Frequent, directed communication will provide a mechanism for gauging when to "course correct" managed stakeholders and effectiveness of the program.

Posted August 20, 2015 9:24 AM
Permalink | 1 Comment |

1 Comment

Great advice. Many people leap into governance with a top-down, policy driven approach. That may tick a few regulatory boxes but does nothing to change how people think and operate.

In my opinion, starting with simple data governance principles (rather than policies) is a better way to change behaviour without being perceived as another control function...

Leave a comment