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 |
28th
May
2009
Syndicated from BeyeNetwork
Gary Cokins had a great post – Fill in the blanks: Which X is Most Likely to X? in which he identifies some great uses for predictive analytics.Increasing employee retention, increasing customer profitability and increased shelf opportunity are classic uses. What Gary does so well in this post, though, is point out that [...]
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posted by James Taylor in Analytics, 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 |
5th
March
2009
Continuing some posts on next generation warranty systems in the build up to speaking at the Warranty Chain management conference I thought I would contrast how current generation warranty systems handle critical decisions with how next generation systems do so.
Decision
Today
Next Generation
Is Claim Valid?
Data validation rules are coded into the user interface that captures [...]
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posted by James Taylor in Analytics, Business Rules, Data Mining, Decision Management |
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 |
19th
February
2009
Syndicated from Smart Data Collective
I am blogging live from Predictive Analytics World on behalf of SmartData Collective. Hopefully there will also be some podcasts. First up is Eric Siegel, program chair and President of Prediction Impact for the event.
Eric defines predictive analytics as “business intelligence” technology that produces a predictive score for each customer or [...]
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posted by James Taylor in Analytics, Data Mining, Decision Management |
29th
December
2008
I got a briefing on IVIS Group’s Sonetto product this week. Sonetto is most famous as the platform for Tesco’s multi-channel strategy. Sonetto is a product designed to focus on multi-channel operations, especially (but not exclusively) multi-channel retail. They make the very valid point that multi-channel retail is complex. Not only do retailers have multiple [...]
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posted by James Taylor in Business Rules, Product News |
17th
December
2008
Wrapping up my responses to John Schmidt’s post on Customer Centricity with a discussion of Mass Customization. John describes this as managing trade-offs and building sophisticated models to customize your response to each and every customer based on their value…
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posted by James Taylor in Analytics, Business Rules, Decision Management |
29th
October
2008
Eric Siegel, who is chairing the new Predictive Analytics World show, presented on predictive analytics and business rules. Predictive analytics, says Eric, is a business intelligence technology that products a predictive score for each customer or prospect … and explanations thereof. These scores come from predictive models that are developed across your historical data. This [...]
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posted by James Taylor in Analytics, Business Rules, Data Mining, Decision Management |
22nd
October
2008
Graham Hill wrote a piece on Evidence-based CRM that focused on evidence-based CRM programs and it made me think about evidence-based CRM processes.
To me, evidence-based CRM means customer relationships, and thus customer treatments, that are based on evidence (data) and not judgment, hope, guesswork etc. It means
making offers that you have evidence this customer will [...]
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posted by James Taylor in Analytics, Data Mining, Decision Management |