Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Governance of the People? Of the Data? For the …
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Business Rules > Governance of the People? Of the Data? For the …
Business RulesDecision ManagementPolicy and Governance

Governance of the People? Of the Data? For the …

GwenThomas
GwenThomas
4 Min Read
SHARE

Just read Julie Hunt’s blog on the connections between business process and data governance. Interesting.  http://preview.tinyurl.com/proc1hunt. In it, she quotes Rob Karel of Forrester from a blog entry last December, saying “Data governance is not – and should never have been – about the data.”

Just read Julie Hunt’s blog on the connections between business process and data governance. Interesting.  http://preview.tinyurl.com/proc1hunt. In it, she quotes Rob Karel of Forrester from a blog entry last December, saying “Data governance is not – and should never have been – about the data.”

Rob has reiterated this in a bunch of thought-provoking appearances since publication, and a buncha people have asked me to comment on whether I agree. So here it is:

More Read

Data versus Expertise Dilemma
Try These Tips On How To Protect Your Data From Your ISP
How Business Analytics Can Lead to That ‘Aha’ Moment
Dronegate: The First Casualty is Our Cybersecurity Paradigm
What Angry Birds Can Teach Us About Analytics

YES… and no. 

“Big G” Governance is all about PEOPLE and RULES: Mostly Decision Rights (Who gets to make what kind of decisions according to what criteria) and which data policies, standards, and high-level control objectives should be prioritized, under what circumstances.

“little g” governance is all CONTROLS (process/technology/hybrid) that are inserted into processes, projects, systems, datastores, and practices to make the DATA meet expectations.

In between is an (often-underappreciated) “alignment layer” where tough decisions are made about how to convert policy to practice. In this layer, managers, SMEs, architects, data advocates, and others work separately, in matrix environments, and/or in roundtable settings. They make choices needed to deal with data – and the people who work with. Outputs may be project plans, architectural requirements, control objectives or specifications, and ACCOUNTABILITIES for data-related controls along their lifecycles and across horizontal efforts such as BUSINESS PROCESSES.

In short: Controls are put in place to govern data. In some environments, data control work can ultimately be fairly routine. Effective controls require aligned architecture and management. This alignment- and the Big G Governance rule-making that informs it – requires humans to interact with each other. So yeah, it’s all about PEOPLE, RULES, and PROCESS.

So what are the A-B-C value statements for the three layers of Data Governance?

  • If we effectively govern data through controls, then the data will be more likely to meet expectations, and our business processes and analytics will benefit as they work to meet our organization’s missions.
  • If we pull representatives together into an alignment organization such as a Data Stewardship Council, then they can each bring a piece of data-related puzzles to the table, with a result of more aligned decisions, controls, plans, and risk-management activities.
  • If we provide input to these councils through Big G Governance activities and outputs such as policies, priorities, and other rulings, then they all have a common understand of leadership’s intent, which will make it more likely that they make decisions which will serve that intent. 

What Rob said: (source http://tinyurl.com/calltoarmsKarel)

I’ve discussed this concept of process-led data management often over the past few years, and went into detail in my July blog post, “Data Governance Remains Immature: Increase Focus On Business Process To Build Momentum,” where I offered a critical call to arms that all MDM, data quality, and data governance evangelists must embrace:

Data governance is not – and should never have been – about the data. High-quality and trustworthy data sitting in some repository somewhere does not in fact increase revenue, reduce risk, improve operational efficiencies, or strategically differentiate any organization from its competitors. It’s only when this trusted data can be delivered and consumed within the most critical business processes and decisions that run your business that these business outcomes can become reality. So what is data governance all about? It’s all about business process, of course.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

power supplies for ATX for data scientists
Why Data Scientists Should Care About SFX Power Supplies
Big Data Exclusive
AI for website optimization
Free AI Tools to Test Website Accessibility
Artificial Intelligence Exclusive
Generative AI models
Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence
Artificial Intelligence Business Intelligence Exclusive Infographic Machine Learning
image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

3 free data sources for analytics and Business Intelligence
AnalyticsBest PracticesBig DataBusiness IntelligenceData ManagementDecision ManagementExclusiveNewsPredictive Analytics

3 Data Sources to Boost Analytics and Business Intelligence

6 Min Read

Decision Management and Insurance – Multi-Channel Distribution and Customer Communication

4 Min Read

Intelligence in the Cloud

9 Min Read

Department of State’s Consular Systems and Technology: A Track Record of Innovation

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?