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
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Next Gen Market Research Analytics 2010 and Beyond
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 Mining > Next Gen Market Research Analytics 2010 and Beyond
Data Mining

Next Gen Market Research Analytics 2010 and Beyond

TomAnderson
TomAnderson
2 Min Read
Next Gen Market Research Analytics 2010 and Beyond
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

Later this week I will be posting the report from the survey conducted among n=855 members of the Next Gen Market Research Group (NGMR). While the entire report in PPT won’t be posted until this Thursday I thought I would start sharing a chart or two here on the blog before then.

Below are the results to the question “Does your organization currently use the following analytical techniques/methodologies?”

It looks like data mining has become mainstream with the majority of market researchers, six in 10, stating their organization is currently using it, and only 16% stating they “would like to use [in the future]“.

Also of surprise is how high “blog mining” ranks on the “Would like to use” list (it is tie with social network analysis). Blog mining has been around for quite some time, I tend to think of it as “web 1.0″, but obviously in terms of market research it’s still quite ‘new’. I believe we will see “social network analysis” as well as “screen/web scraping” surpass blog mining in the near future.

More Read

Data Mining Research Interview: Stuart Shulman
Data Mining Research Interview: Stuart Shulman
Implications of the Organization of Data
A Reality Gap Exists with Big Data Initiatives [INFOGRAPHIC]
More Ways to get a Scoring Model wrong
Business People Are Dumb On Average(s)

Will break out client side and supplier side responses by Thursday. Stay tuned…

@TomHCAnderson

Link to original postTom H. C. Anderson – Anderson Analytics

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article explains that training robots for physical interaction requires three distinct data cate
Physical AI: What Data Do You Need to Train a Robot?
Artificial Intelligence Exclusive Robotics
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
Analytics Big Data Exclusive Software
Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security
Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Mining for Gold in Your Data
Data Mining

Mining for Gold in Your Data

5 Min Read
Blogging from Istanbul
Data Mining

Blogging from Istanbul

5 Min Read
Why normalization matters with K-Means
Data MiningPredictive Analytics

Why normalization matters with K-Means

4 Min Read
SQL Visualization in the Spreadsheet
Big DataBusiness IntelligenceData ManagementData MiningInside CompaniesNew ProductsSoftwareSQLUnstructured Data

SQL Visualization in the Spreadsheet

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

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?