Home Business Intelligence How Knowledge Governance Drives Profitable Enterprise Outcomes

How Knowledge Governance Drives Profitable Enterprise Outcomes

How Knowledge Governance Drives Profitable Enterprise Outcomes


This weblog, initially printed in Could 2021, was up to date in July 2023.

Since this text was printed, the Domo Sandbox and Governance Toolkit now permit for simpler governance and governance automation of Domo. Moreover, the variety of Domostats metadata studies has doubled, and we’re within the midst of a Domostats Quickstart refresh. Transferring ahead, you’ll be able to anticipate to see extra product improvement centered on governance automation and enablement. 


The Knowledge Governance Institute (DGI) defines knowledge governance as “a system of determination rights and accountabilities for information-related functions, executed in response to agreed-upon fashions that describe who can take what actions with what info, and when, underneath what circumstances, utilizing what strategies.”  
In different phrases, it’s a framework for the way knowledge can be utilized inside a company. However for some cause, most organizations don’t do knowledge governance very effectively.  
Why? For starters, folks, for probably the most half, don’t wish to be ruled. They like freedom. However relating to knowledge, whole freedom is usually a recipe for catastrophe, because it opens up organizations to safety points.   
To keep away from such issues, and to place themselves for achievement, companies should steadiness two ends of a divergent spectrum—the one which represents tips and management, and the one which stands for entry and empowerment.  


What’s step one to making sure knowledge governance? 

There’s no actual reply. However the consensus amongst these I’ve talked to who deal with knowledge administration methods at industry-leading enterprises is that step one ought to contain one of many following:  

  • Guarantee knowledge high quality. As a result of with out it, belief goes by the wayside, making it unimaginable to make vital choices with confidence.  
  • Set up definitions and naming conventions. Setting such requirements ensures uniformity and accuracy whereas providing accountability and consistency. It additionally makes it simpler to “discover the information.”  
  • Embrace a shopkeeper’s perspective. Being a gatekeeper is just not the reply. Be a shopkeeper who helps clients whereas conserving management of the shop.  
  • Perceive folks’s wants. Ask your self, “What do folks want to have the ability to do? And the way can I finest meet these wants?” Then, go from there.   

Briefly, embark on the journey with the concept you need to create a tradition the place folks can discover and innovate responsibly.  


How do I get everybody on board? 

When you’ve taken step one, then it’s time to construct some momentum. Don’t be afraid to make use of current structure; this initiative doesn’t should be a start-from-scratch endeavor that requires cash the group might not have.   
Additionally, do take into account competitions and incentives; there’s no hurt in rewarding folks for ensuring knowledge is populated accurately and constantly.  
Lastly, be sure that governance is part of each individual’s targets all year long. If, on the finish, somebody can say, “I cleaned up 78 datasets that weren’t used anymore, and I renamed all the things to suit naming conventions,” then a lot the higher.  


Every other governance ideas and methods?

Positively. Primarily based on conversations I’ve had through the years with knowledge governance specialists, it helps to automate as a lot as potential.   
“The extra you’ll be able to automate,” one analyst instructed me, “the extra it could possibly bubble up the conversations to have, so that you might be more practical with what you’re going after.”  
Additionally, by no means join your supply datasets to any of your manufacturing knowledge flows. Put a layer of safety between your sources and your flows. “That’s the place you centralize your whole validity,” one other skilled stated.  
Thirdly, perceive that typically it simply comes right down to human interactions. Create a governance council, and have conferences—or, on the very least, arrange a chat room the place folks can go to ask questions. This enhances the belief issue.  
One other suggestion: Experiment with the certification function that fashionable BI platforms like Domo have. After getting a licensed set of people that can get into all of the datasets, you can begin killing the older datasets.   
“I’ve discovered that attaching somewhat watermark or seal to these licensed studies creates a complete new tradition within the group,” stated a knowledge governance guru for a serious producer of simulation applied sciences. “A tradition of governance.”  
It may be time-consuming to manually observe governance-related occasions. To assist with this, many fashionable BI platforms present datasets that you should use to measure knowledge governance. Widespread governance studies embody platform engagement, new dashboards created, and knowledge stream refresh failure charge.  
Lastly, embrace the truth that you’re by no means completed with knowledge governance. You’re at all times in the midst of the journey—or, in one other layer of the onion—and one of the best ways ahead is simply to maintain transferring ahead.  
Be taught extra about making knowledge accessible whereas guaranteeing full safety and management. 



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