MAR 7, 2008 1:02am ET

Related Links

Birst Automates Connections to Big Data
February 8, 2012
The Data Behind Red Cross Donations
February 6, 2012
UBS Taps Big Data to Shrink Reputational Risk
February 6, 2012

Web Seminars

Suit Yourself: An Effective Recipe for Self-Service Analytics
March 20, 2012
Business Insight at Your Fingertips: Bringing Analytics to the Masses
March 22, 2012
Best Practices in Delivering Big Data Analytics
Available On Demand

What is the difference between a recommendation engine and predictive analytics?

Print
Reprints
Email

Questions: I am interested to learn more about the difference between the “recommendation engine” and the predictive analytics.

 

Chuck Kelley’s Answer: Predictive analytics is about predicting what will be the “next” great thing, for example, based on the current information. Recommendation engines offer recommendations of current items based on current information. One predicts the future. The other offers suggestions based on past.

Chuck Kelley is an internationally known expert in database and data warehousing technology. He has 30 years of experience in designing and implementing operational/production systems and data warehouses. Kelley has worked in some facet of the design and implementation phase of more than 50 data warehouses and data marts. He also teaches seminars, co-authored four books on data warehousing and has been published in many trade magazines on database technology, data warehousing and enterprise data strategies. He can be contacted at chuckkelley@usa.net.

Filed under:

Advertisement

Comments (0)

Be the first to comment on this post using the section below.

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.
Twitter
Facebook
LinkedIn
Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
FOLLOW US
Please note you must now log in with your email address and password.