Comments on: 5 ways to reduce cost with predictive analytics

By: James Taylor's Decision Management

James Taylor's Decision Management — Thu, 05 Nov 2009 05:47:46 +0000

Business Rules Forum 2009 – Day 2…

The second full day of the Business Rules Forum/Enterprise Decision Management Summit is over and once again I have been taking notes rather than blogging live. Once again there were some great sessions – today I heard Steve Hendrick of……

By: Business Rules Forum 2009 – Day 2 #brf — JT on EDM

Business Rules Forum 2009 – Day 2 #brf — JT on EDM — Thu, 05 Nov 2009 05:44:57 +0000

[...] I have to confess to skipping Eric Siegel’s session as I have heard it recently (check out 5 ways to reduce cost with predictive analytics or watch the webinar Eric and I did on Optimizing business decisions with predictive [...]

By: tdwimpls (TDWI Mpls Chapter)

tdwimpls (TDWI Mpls Chapter) — Fri, 18 Sep 2009 09:13:39 +0000

Twitter Comment

"5 ways to reduce cost with predictive analytics — JT on EDM" [link to post]

- Posted using Chat Catcher

By: Tweets that mention 5 ways to reduce cost with predictive analytics — JT on EDM -- Topsy.com

Thu, 17 Sep 2009 22:29:32 +0000

[...] This post was mentioned on Twitter by tango, tango, Monty Aztec, Pedro Byzantineand others. Pedro Byzantine said: 5 ways to reduce cost with predictive analytics: Copyright © 2009 James Taylor. Visit the original article at 5 .. http://bit.ly/8plkv [...]

By: Zementis (Zementis)

Zementis (Zementis) — Thu, 17 Sep 2009 20:32:51 +0000

Twitter Comment

RT @tweetmeme 5 ways to reduce cost with predictive analytics — JT on EDM [link to post] #analytics #datamining #cloud #ec2 #aws

- Posted using Chat Catcher

By: Michael Zeller

Michael Zeller — Thu, 17 Sep 2009 20:25:44 +0000

Towards lower Total Cost of Ownership (TCO) for Predictive Analytics. As James points out, predictive analytics is a great way to reduce cost and drive efficiency --- and a predictive analytics project no longer has to be a high risk or costly undertaking! Once you have developed your decision models, it is time to reduce the cost of deployment, integration and operational execution of predictive analytics. Open standards, like the Predictive Model Markup Language (PMML) , and Cloud Computing deployment solutions offer a cost-effective, on-demand entry into real-time, operational predictive analytics. For an overview of what the leading data mining vendors have to say about the topic, please see the KDD 2009 Panel Report: Open Standards and Cloud Computing