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
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: New Rexer Analytics survey
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 > New Rexer Analytics survey
Data MiningPredictive Analytics

New Rexer Analytics survey

JamesTaylor
JamesTaylor
4 Min Read
SHARE

I recently got the survey results from the annual data mining survey that Karl Rexer or Rexer Analytics runs. You can get the summary here or the full results from Karl but here are my thoughts:

  • Data mining is everywhere. The most cited areas are CRM / Marketing and Financial Services with a big lead over Retail and Telecom. Healthcare did poorly, no surprise.
  • Data miners most frequently work in are Marketing & Sales, Research & Development, Risk.
  • Data miners’ most commonly used algorithms are regression, decision trees, and cluster analysis – way ahead of the others. Text mining was back in the pack, interesting given the amount of text mining coming presentations we saw at Predictive Analytics World.
  • Half of data miners say their results are helping to drive operational processes.
    This is encouraging as I think this is by far the most effective way to use predictive analytics.
  • Batch scoring with the results getting stored in the database came top of deployment approaches at 30% with interactive real-time scoring at 21% and 16% putting the model into some overall softwareproject.
  • 60% of respondents say the results of their modeling…
  • …

I recently got the survey results from the annual data mining survey that Karl Rexer or Rexer Analytics runs. You can get the summary here or the full results from Karl but here are my thoughts:

More Read

Risk and Five Sigma Events – Can They Happen to You?
A Complete Guide to Overcoming Executives’ Concerns about Hadoop
Open Source is Opening Data to Predictive Analytics
Linux for busy people
NoSQL Vs. RDBMS for Interactive Analytics: Leveraging the Right and Left Brain of Data
  • Data mining is everywhere. The most cited areas are CRM / Marketing and Financial Services with a big lead over Retail and Telecom. Healthcare did poorly, no surprise.
  • Data miners most frequently work in are Marketing & Sales, Research & Development, Risk.
  • Data miners’ most commonly used algorithms are regression, decision trees, and cluster analysis – way ahead of the others. Text mining was back in the pack, interesting given the amount of text mining coming presentations we saw at Predictive Analytics World.
  • Half of data miners say their results are helping to drive operational processes.
    This is encouraging as I think this is by far the most effective way to use predictive analytics.
  • Batch scoring with the results getting stored in the database came top of deployment approaches at 30% with interactive real-time scoring at 21% and 16% putting the model into some overall softwareproject.
  • 60% of respondents say the results of their modeling are deployed always or most of the time.
    This is still not good enough – nearly half are not getting deployed.
  • The top challenges facing data miners are dirty data, explaining data mining to others, and difficult access to data. However, in 2009 fewer data miners listed data quality and data access as challenges than in the previous year. 34% also have problems with IT.
  • Open-source tools Weka and R made substantial movement up data miner’s tool rankings this year, and are now used by large numbers of both academic and for-profit data miners.

There’s lots more in the survey so go get it and read it.

Link to original post

TAGGED:predictive analyticsrexer analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

predictive analytics used by amazon
AnalyticsPredictive Analytics

Amazon Wants to Use Predictive Analytics to Offer Anticipatory Shipping

6 Min Read
artificial intelligence tool for small businesses
Artificial IntelligenceExclusive

Why AI Is The Perfect Recruiting Tool, Even For Small Businesses

8 Min Read

PAW: The High ROI of Data Mining for Innovative Organizations

9 Min Read
AnalyticsPredictive Analytics

Predictive Analytics Addresses Pressing Web Hosting Challenges in 2019

6 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
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?