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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: DQ-Tip: “Don’t pass bad data on to the next person…”
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 > DQ-Tip: “Don’t pass bad data on to the next person…”
Uncategorized

DQ-Tip: “Don’t pass bad data on to the next person…”

JimHarris
JimHarris
3 Min Read
SHARE

Data Quality (DQ) Tips is a new regular segment.  Each DQ-Tip is a clear and concise data quality pearl of wisdom.

Contents
      • Submit DQ-Tips
      • Related Posts
  • Submit DQ-Tips
  • Related Posts
  • Additional Resources

“Don’t pass bad data on to the next person. And don’t accept bad data from the previous person.”

This DQ-Tip is from Thomas Redman’s excellent book Data Driven: Profiting from Your Most Important Business Asset.

In the book, Redman explains that this advice is a rewording of his favorite data quality policy of all time.

Assuming that it is someone else’s responsibility is a fundamental root case for enterprise data quality problems. One of the primary goals of a data quality initiative must be to define the roles and responsibilities for data ownership and data quality.

More Read

The Data Scientist is the New Product Manager
Working Smarter in Tough Economic Times (Text Analytics)
6 Ways to Futureproof Your Linux Infrastructure [SLIDESHARE]
It’s the Attention, Stupid
Derivatives and Transparency

In sports, it is common for inspirational phrases to be posted above every locker room exit door. Players acknowledge and internalize the inspirational phrase by reaching up and touching it as they head out onto the playing field.

Perhaps you should post this DQ-Tip above every break room exit door throughout your organization?

Submit DQ-Tips

Please submit your favorite data quality tips via the DQ-Tips Forum Topic in the Data Quality Symposium.

Related Posts

The Only Thing …

Data Quality (DQ) Tips is a new regular segment.  Each DQ-Tip is a clear and concise data quality pearl of wisdom.

“Don’t pass bad data on to the next person. And don’t accept bad data from the previous person.”

This DQ-Tip is from Thomas Redman’s excellent book Data Driven: Profiting from Your Most Important Business Asset.

In the book, Redman explains that this advice is a rewording of his favorite data quality policy of all time.

Assuming that it is someone else’s responsibility is a fundamental root case for enterprise data quality problems. One of the primary goals of a data quality initiative must be to define the roles and responsibilities for data ownership and data quality.

In sports, it is common for inspirational phrases to be posted above every locker room exit door. Players acknowledge and internalize the inspirational phrase by reaching up and touching it as they head out onto the playing field.

Perhaps you should post this DQ-Tip above every break room exit door throughout your organization?

Submit DQ-Tips

Please submit your favorite data quality tips via the DQ-Tips Forum Topic in the Data Quality Symposium.

Related Posts

The Only Thing Necessary for Poor Data Quality

Hyperactive Data Quality (Second Edition)

Data Governance and Data Quality

Additional Resources

Who is responsible for data quality?

DQ Problems? Start a Data Quality Recognition Program!

Starting Your Own Personal Data Quality Crusade

Link to original post

TAGGED:data quality
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Accuracy

19 Min Read

Hailing Frequencies Open

7 Min Read

Rating agency data: Getting gamed

3 Min Read

A Record Named Duplicate

7 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
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?