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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data Quality Industry: Problem Solvers or Enablers?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Quality > Data Quality Industry: Problem Solvers or Enablers?
Data Quality

Data Quality Industry: Problem Solvers or Enablers?

JimHarris
JimHarris
0 Min Read
Data Quality Industry: Problem Solvers or Enablers?
Photo by ds_30 on Pixabay (https://pixabay.com/photos/camera-lens-photography-objects-4850067/)
SHARE

This morning I had the following Twitter conversation with Andy Bitterer of Gartner Research and ANALYSTerical, sparked by my previous post about Data Quality Magic, the one and only source of which I posited comes from the people involved:

What Say You?

Although Andy and I were just joking around, there is some truth beneath these tweets.  After all, according to Gartner research, “the market for data quality tools was worth approximately $727 million in software-related revenue as of the end of 2009, and is forecast to experience a compound annual growth rate (CAGR) of 12% during the next five years.” 

So I thought I would open this up to a good-natured debate. 

Do you think the data quality industry (software vendors, consultants, analysts, and conferences) is working harder to solve the problem of poor data quality or perpetuate the profitability of its continued existence?

More Read

What to Do When You Don’t Know What You Don’t Know…
What to Do When You Don’t Know What You Don’t Know…
Scrum Screwed Up
Building an Analytical Portal to Support Analytical Culture
Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC
Data by the Book: You Don’t Know What You’ve Got Until It’s Gone

All perspectives on this debate are welcome without bias.  Therefore, please post a comment below.

(Please Note: Comments advertising your products and services (or bashing your competitors) will NOT be approved.)

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic
5 Common Mistakes Businesses Make During the Risk Assessment Process -- AI-generated illustration
5 Common Mistakes Businesses Make During the Risk Assessment Process
Business Intelligence Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

AnalyticsData QualityData VisualizationHardwareLocationModeling

Applying BIM to Design of Sites and Structures

11 Min Read

Descriptive, Predictive, and Prescriptive Analytics Explained

8 Min Read
The Truth about Social Media Analytics
AnalyticsBest PracticesData QualityExclusivePredictive AnalyticsText AnalyticsWeb Analytics

The Truth about Social Media Analytics

6 Min Read

Turbo-Charge Data Scientist Productivity with a Data Catalog

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.

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?