24th
June
2009
I got a chance to get an overview of the latest release of Oracle Real-Time Decisions, 3.0. This is the platform for real-time decisions on which various applications (for call center, web etc) are built and sold as part of the Oracle Applications suite.
The vision of this product is to optimize “return on attention” – [...]
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posted by James Taylor in Analytics, Business Rules, Decision Management, Product News |
29th
May
2009
Ginger Conlon had a nice post this week – Don’t Blast. Target. – Think customers: The 1to1 Blog.
many marketers are still drawn to the ease of blasting to a broad audience, instead of targeting for maximum impact among those most likely to respond
If you are trying to make this transition from blasting to targeting – [...]
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posted by James Taylor in Analytics, Business Rules, Data Mining, Decision Management |
1st
May
2009
SPSS Inc. likes to say they focus on helping customers capture all the information they need, predict outcomes and then, using their Decision Management products, act on these insights by embedding analytic results into business processes. Within this family, the PASW Decision Management tools add actions, business rules, to analytics to enable action to be [...]
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posted by James Taylor in Analytics, Data Mining, Decision Management |
10th
April
2009
A little while ago I got an update from Unica. While Unica may seem like a slightly tangential topic for me it actually is not. Not only do I think that many efforts to adopt decision management start with customer marketing decisions (Unica’s focus as part of Enterprise Marketing Management) but Unica has done a [...]
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posted by James Taylor in Analytics, Business Rules, Decision Management, Product News |
19th
March
2009
Decision Management Solutions attended the Santa Clara Cloudforce 2009 event yesterday and heard CEO Marc Benioff present “Welcome to the Real-time Cloud” in which he introduced some great features in their spring 2009 release and demonstrated, once again, that salesforce.com is paying attention. Salesforce.com has clearly realized that the next step for enterprise [...]
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posted by James Taylor in Decision Management |
24th
February
2009
Syndicated from b-eye network
Last week I was at Predictive Analytics World, a brand new show on the business value of predictive analytics. The show was a great success, I think, as it attracted a decent audience in very tough times and succeeded in bringing together not just those building predictive analytic models, but also those [...]
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posted by James Taylor in Analytics, Data Mining, Decision Management |
23rd
February
2009
I recently got a chance to discuss EpiAnalytics product offerings and see a brief demonstration. EpiAnalytics provides contact center analytics to improve customer service and technical support business processes using analytics (including text analytics) and decision automation to automate the manual analysis of leads and support emails. The results are then plugged into an engine [...]
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posted by James Taylor in Analytics, Product News |
20th
February
2009
Syndicated from Smart Data Collective
Arthur Hughes (author of Strategic Database Marketing) and Anna Lu of e-Dialog.com presented on predictive modeling for e-mail marketing. Arthur has been developing databases for database marketing for 30 years or so. Initially he focused on databases but found that people could not use them to make money and that led [...]
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posted by James Taylor in Analytics |
20th
February
2009
Syndicated from Smart Data Collective
Andreas Weigend, former amazon.com Chief Scientist, gave a keynote on the unrealized power of data. He started with a historical perspective. In the 70s perhaps 10M used computers, mostly in the back office. By the 80s this had reached 100M and the front office. By the 90s the internet and search [...]
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posted by James Taylor in Analytics, Strategy |
20th
February
2009
Syndicated from Smart Data Collective
Matt Kramer of Axciom and Jun Zhong of Wells Fargo discussed some of the challenges presented by data in the context of predictive models. Matt began by discussing some of the reasons for modeling – reducing costs, avoiding simplistic decisioning, predict attritition, optimize marketing spend etc. Predictive models help by ranking [...]
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posted by James Taylor in Analytics, Decision Management |