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
    big data and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
    How a Specialized Marketing VA Improves Campaign Analytics
    How a Specialized Marketing VA Improves Campaign Analytics
    11 Min Read
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Imagining the Future of Data Quality
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 > Imagining the Future of Data Quality
Uncategorized

Imagining the Future of Data Quality

JimHarris
JimHarris
4 Min Read
SHARE

Earlier this week on Data Quality Pro, Dylan Jones published an Interview with Larry English, one of the earliest pioneers of information quality management, one of the most prominent thought leaders in the industry, and one of the co-founders (along with Thomas Redman) of the International Association for Information and Data Quality (IAIDQ).

Contents
  • Imagining the Future of Data Quality
  • Imagining the Future of Data Quality

The interview also unintentionally sparked some very common debates, including the differences between data and information, data quality (DQ) and information quality (IQ), as well as proactive and reactive approaches to quality management. 

Of course, I added my own strong opinions to these debates, including a few recent posts – The General Theory of Data Quality and Hyperactive Data Quality (Second Edition).

On a much lighter note, and with apologies to fellow fans of John Lennon, I also offer the following song:

More Read

What demographic responds best to mobile?
Designing products for single and multiplayer modes
The TunkRank Implementation Challenge
IEEE Computer Special Issue on Information Seeking Support Systems
Survey: SOA delivering; SOAP out, REST in

Imagining the Future of Data Quality

Imagine there’s no defects
It’s easy if you try
No data cleansing beneath us
Above us only sky
Imagine all the data
Living with quality

Imagine there’s no companies
It isn’t hard to do
Nothing to manage or govern
And no experts too
Imagine all the …

Earlier this week on Data Quality Pro, Dylan Jones published an Interview with Larry English, one of the earliest pioneers of information quality management, one of the most prominent thought leaders in the industry, and one of the co-founders (along with Thomas Redman) of the International Association for Information and Data Quality (IAIDQ).

The interview also unintentionally sparked some very common debates, including the differences between data and information, data quality (DQ) and information quality (IQ), as well as proactive and reactive approaches to quality management. 

Of course, I added my own strong opinions to these debates, including a few recent posts – The General Theory of Data Quality and Hyperactive Data Quality (Second Edition).

On a much lighter note, and with apologies to fellow fans of John Lennon, I also offer the following song:

Imagining the Future of Data Quality

Imagine there’s no defects
It’s easy if you try
No data cleansing beneath us
Above us only sky
Imagine all the data
Living with quality

Imagine there’s no companies
It isn’t hard to do
Nothing to manage or govern
And no experts too
Imagine all the data
Living life in peace

You may say that I’m a dreamer
But I’m not the only one
I hope someday you’ll join us
And the DQ/IQ world will be as one

Imagine no best practices
I wonder if you can
No need for books or lectures
A brotherhood of man
Imagine all the data
Sharing all the world

You may say that I’m a dreamer
But I’m not the only one
I hope someday you’ll join us
And the DQ/IQ world will live as one

Link to original post

TAGGED:data quality
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

big data and customer service outsourcing
How Data Analytics Improves Customer Service Outsourcing
Analytics Exclusive
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
Artificial Intelligence Exclusive
How a Specialized Marketing VA Improves Campaign Analytics
How a Specialized Marketing VA Improves Campaign Analytics
Analytics Exclusive
ai marketing tools
The 9 AI Tools Marketers Use to Create Images and Video in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

There are no Magic Beans for Data Quality

7 Min Read

#19: Here’s a thought…

4 Min Read

When Bad Data Becomes Acceptable Data

5 Min Read

Hyperactive Data Quality

8 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?