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
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    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
  • 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-TipsRelated PostsSubmit DQ-TipsRelated PostsAdditional 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

Product Development Exploiting Gen Y Weakness
Approach and Identify
What to keep in our heads?
All I Really Need To Know About Data Quality I Learned In Kindergarten
Find Out More about the Guardian Open Platform!

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

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The Challenges and Solutions of Big Data Testing
Big DataData ManagementData QualitySoftware

The Challenges and Solutions of Big Data Testing

7 Min Read

To Parse or Not To Parse

5 Min Read

Entry Point: Change is a Constant

5 Min Read

Garbage in the Lockers and Gold on the Streets

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
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence 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?