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
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: A Portrait of the Data Quality Expert as a Young Idiot
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > A Portrait of the Data Quality Expert as a Young Idiot
Uncategorized

A Portrait of the Data Quality Expert as a Young Idiot

JimHarris
JimHarris
3 Min Read
SHARE

Once upon a time (and a very good time it was), there was a young data quality consultant that fancied himself an expert.

He went from client to client and project to project, all along espousing his expertise. He believed he was smarter than everyone else. He didn’t listen well – he simply waited for his turn to speak. He didn’t foster open communication without bias – he believed his ideas were the only ones of value. He didn’t seek mutual understanding on difficult issues – he bullied people until he got his way. He didn’t believe in the importance of the people involved in the project – he believed the project would be successful with or without them.

He was certain he was always right.

And he failed – many, many times.

More Read

Most Swans are White: Living in a Predictive Society
What Jimmy Buffett Could Teach Data Governance Leaders
Who tells who what to do? Project Mangement Work Puzzle.
Tim O’Reilly on The Endarkment
Using decision management for meaningful EMR

In his excellent book How We Decide, Jonah Lehrer advocates paying attention to your inner disagreements…

Once upon a time (and a very good time it was), there was a young data quality consultant that fancied himself an expert.

He went from client to client and project to project, all along espousing his expertise. He believed he was smarter than everyone else. He didn’t listen well – he simply waited for his turn to speak. He didn’t foster open communication without bias – he believed his ideas were the only ones of value. He didn’t seek mutual understanding on difficult issues – he bullied people until he got his way. He didn’t believe in the importance of the people involved in the project – he believed the project would be successful with or without them.

He was certain he was always right.

And he failed – many, many times.

In his excellent book How We Decide, Jonah Lehrer advocates paying attention to your inner disagreements, becoming a student of your own errors, and avoiding the trap of certainty. When you are certain that you’re right, you stop considering the possibility that you might be wrong.

James Joyce wrote that “mistakes are the portals of discovery,” and T.S. Eliot wrote that “we must not cease from exploration and the end of all our exploring will be to arrive where we began and to know the place for the first time.”

Once upon a time, there was a young data quality consultant that realized he was an idiot – and a very good time it was.

Link to original post

TAGGED:data quality
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive
dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Smart Data
Best PracticesBig DataData ManagementData QualityDecision ManagementPredictive AnalyticsRisk ManagementSocial Data

Can Smart Data Ensure Cybersecurity and Data Protection?

6 Min Read

Enhancing IT Support to the Counter Terror Effort: Design Criteria

10 Min Read

#9: Here’s a thought…

7 Min Read

The Very Model of a Modern DQ General

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.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?