Ventana Research
MAR 28, 2012 9:24am ET

Related Links

Predictive Analytics Continue to Elude Healthcare
July 16, 2014
Fiserv Awarded Patent for Predictive Modeling Technology
May 14, 2014
How to Evolve Your Approach to Analytics in an Increasingly Social World
February 20, 2014

Web Seminars

Essential Guide to Using Data Virtualization for Big Data Analytics
September 24, 2014
Integrating Relational Database Data with NoSQL Database Data
October 23, 2014

Predictive Analytics: Special Skills Needed


As a technology, predictive analytics has existed for years, but adoption has not been widespread among businesses.

Get access to this article and thousands more...

All Information Management articles are archived after 7 days. REGISTER NOW for unlimited access to all recently archived articles, as well as thousands of searchable stories. Registered Members also gain access to:

  • Full access to including all searchable archived content
  • Exclusive E-Newsletters delivering the latest headlines to your inbox
  • Access to White Papers, Web Seminars, and Blog Discussions
  • Discounts to upcoming conferences & events
  • Uninterrupted access to all sponsored content, and MORE!

Already Registered?


Comments (2)
Hello David -

Thanks for sharing the research results summary. Although I'm having trouble reconciling the 10th place finish and the "only one in eight" companies using predictive analytics with the higher percentages noted later in the summary, there are some nice complements to work that we see being done with predictive analytics.

I agree with the assessment about training. The leading organizations that we interact with our not "penny wise and pound foolish" when it comes to training. Those that invest in training are getting much more from their overall analytics investment.

I also think that this points to the need for a comprehensive information management approach that leverages the strengths of the various departments within an organization. Given the shortage of analysts, it's imperative that IT can go the extra yard to help drive the data preparation work required to support analytics. We have seen upwards of 80% of the analyst time spent on data prep, and once this is appropriately managed with a combination of tools, collaboration and process, we have been able to free up the analysts from the data prep work to focus on predictive analytics.

And if a comprehensive approach to information management is used, we have seen organizations be much more effective in the number of models that they use, the amount of data and variables that are factored into the analytic results, and the ability to monitor and update their models on a very frequent basis. They have been able to do this with the same number of analytic resources while expanding the number of projects that they manage.

Thanks again for your post.

Mark Troester IT/CIO Thought Leader & Strategist, SAS Twitter: @mtroester Blog:

Posted by Mark T | Thursday, March 29 2012 at 3:58PM ET
Good article on predictive analytics and its importance. Read an informative whitepapers on BI and also attend a webinar @ " "
Posted by Aditya J | Wednesday, April 11 2012 at 12:57AM ET
Add Your Comments:
You must be registered to post a comment.
Not Registered?
You must be registered to post a comment. Click here to register.
Already registered? Log in here
Please note you must now log in with your email address and password.
Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
Please note you must now log in with your email address and password.