We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data Governance and the Wet Bar
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Policy and Governance > Data Governance and the Wet Bar
Policy and Governance

Data Governance and the Wet Bar

JillDyche
JillDyche
4 Min Read
Data Governance and the Wet Bar
Photo by simonschmid614 on Pixabay (https://pixabay.com/photos/berlin-reichstag-flag-bundestag-5778942/)
SHARE

In which Jill foregoes the bikini. (You’re welcome, America.)

Bikini-wetbar
When I was 9 years old I heard my mother remark to my father that the neighbor’s house had a wet bar. “What’s a wet bar?” I asked. “She doesn’t need to know that,” my father told my mother.

“You don’t need to know,” my mother told me. But my imagination had already begun gyrating. A wet bar sounded forbidden and vaguely sinister. Why did our neighbors have one and we didn’t? The neighbors had painted their living room chartreuse and they played chess, so they were obviously hippies. A wet bar was probably something sexy where you got to wear your bikini, no kids allowed.

I’m reminded of the wet bar story when clients ask me about starting data governance programs. They have lots of questions and certain assumptions about data governance, though most have never seen it in action. It’s exciting but dreadful, important but dangerous.

They imagine themselves part of an omnipotent committee of decision makers that convenes monthly in the executive boardroom. The CEO and his staff are convivial and earnest, the lemonade flows, and plates of brownies crowd the credenza. The CEO gives an impassioned speech about how data is strategic. “Data is an asset!” the attendees cry while enthusiastically jotting down their action items. The CMO personally asks you to chair the next meeting, which will feature cupcakes and iced green tea. That went well, didn’t it?

The reality of companies new to data governance is that it’s launched before it’s ready by people for whom the need to manage data is suddenly terribly urgent. Stakeholders are confused, and participation is reluctant unless it’s enforced. Data governance hasn’t even hit the CEO’s radar, never mind that none of the vice presidents have responded to your meeting invitation. Someone wonders “whose budget is paying for this?” The only meeting room available is the one along the inside hallway with spotty internet access and a broken projector. And when people do show up they appear beleaguered and gaunt, as if they’ve just escaped from filming Dr. Zhivago.

An effective data governance program obviously falls somewhere in the middle of these two extremes. The executives in question might not be C-level, but they do have the organizational authority to incent participation and secure funding for data governance. The program itself has been designed and communicated so that when people meet to discuss it, they know what it looks like and how it drives business benefits. The team is ready to establish decision rights, so participants understand what they’re accountable for and how they’ll accomplish their goals. Delivery capabilities are examined honestly for the first time. Efforts are prioritized based on ROI and strategic alignment. And outcomes are clear so there’s no question about what success looks like.

Of course much of what makes data governance work is how it’s designed around (or in spite of) a company’s cultural norms. How disruptive data governance should be depends on the organizational appetite for change. How you grab people’s attention has everything to do with its long-term traction. If you can reserve the boardroom, so much the better. And if the boardroom has a wet bar? Trust me, you’re golden.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects weekly technician productivity and related shop metrics to timely scheduling an
Workforce Analytics for Auto Repair Shops: Reading Technician Productivity Weekly
Business Intelligence Exclusive
Flat editorial illustration: A business-editorial depiction of two account-growth routes: data-guided targeted advertising and cr
Targeted Ads and Cross-Promotion: Using Audience Segments and Platform Statistics to Grow
Exclusive Social Data
Flat editorial illustration: Business and SaaS-editorial concept: a prospective development team proves its fit by testing a boun
Hiring a Dedicated Development Team for Your Existing Stack and Delivery Process
Development Exclusive
Flat editorial illustration: The article is about modernizing legacy software incrementally without stopping live operations. A t
7 Top Legacy Software Modernization Companies in Europe for 2027
Exclusive Software

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Digital Heirlooms: What Lasts in a Digital Age?
Big DataCloud ComputingCulture/LeadershipData ManagementHardwareITPolicy and Governance

Digital Heirlooms: What Lasts in a Digital Age?

9 Min Read
Business Continuity and Disaster Recovery
Best PracticesBusiness IntelligenceCulture/LeadershipData ManagementITPolicy and GovernanceSecurity

Business Continuity and Disaster Recovery

4 Min Read
6 Simple Steps to a Big Data Strategy
AnalyticsBest PracticesBig DataBusiness IntelligenceCloud ComputingData ManagementData MiningData VisualizationExclusiveHadoopHardwareITMapReducePolicy and GovernanceSoftwareUnstructured Data

6 Simple Steps to a Big Data Strategy

6 Min Read
The HIPAA Privacy Rule and the Need for a Business Associate Agreement
Culture/LeadershipPolicy and GovernancePrivacy

The HIPAA Privacy Rule and the Need for a Business Associate Agreement

3 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?