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One of the questions I get regularly can be summarized like this: I see how a decision service works when it returns an answer but can it return multiple answers? As one reader put it: Suppose we want to go from India to the USA. There are number of alternatives and many flights that are [...]

Syndicated from BeyeNetwork I have been thinking about lift curves this week (no, really, this is the kind of thing I think about) and I thought it was worth spending a post describing them and their value. Before I actually talk about a lift curve I need to give you a little background. The purpose [...]

I am giving a tutorial and a presentation on putting predictive analytics to work at the forthcoming Predictive Analytics World show in Washington DC (October 20th-21st with tutorials on the 19th). I always like to illustrate my points with real examples and I am going to be talking about Premier Bankcard, a SAS client. As [...]

Syndicated from BeyeNetwork Curt Monash has been Thinking About Analytic Speed over on The Intelligent Enterprise Blog and makes some good points about the different kinds of analytic speed. One area I find lots of confusion in discussions of analytic speed that Curt does not touch on is the difference in time to build an [...]

I am giving a tutorial and a presentation on putting predictive analytics to work at the forthcoming Predictive Analytics World show in Washington DC (October 20th-21st with tutorials on the 19th). I always like to illustrate my points with real examples and while I was preparing the presentation I had a chance to talk to [...]

Shantanu Narayen of Adobe recently said “Engagement is the new business mandate” and when Denise Shiffman (author of The Age of Engage) spoke at a recent CMO summit she added: As I talk to customers, partners, and employees, it becomes increasingly clear to me that the health of a company relies on the extent to [...]

Last week I responded to some concerns raised about the dark side of analytics and this prompted a very thoughtful comment from Will Dwinnell who said My fear is that much of the nuance about what a predictive model is really saying about airline passenger THX1138 is lost, and the security guard at the gate [...]

clario Analytics was founded back in 2002 largely by folks from Fingerhut. The team had been working on mailstream optimization – how to manage catalogs. The best customers of a catalog marketer can get literally 100 catalogs per year and this is not good. Initially a consulting company they raised money in 2006 and launched [...]

I got a briefing from ID Analytics recently – mostly to catch up on their new service for consumers My ID Score (https://myidscore.com). ID Analytics has historically been focused on B2B services – helping companies identify applications that are potentially fraudulent. They have an ID Network that collects information from 6 of the top 10 [...]

Angoss has just released a new version of their data mining and predictive analytics software, version 7.0. Key themes for 7 were: Optimization Mining enhancements like data weighting, in-database analytics, new statistics Support for more complex IT environments Usability Angoss has long supported the development of strategies or decision trees – models that define the [...]

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 [...]

Delta-R‘s product onRules is Java-based, service oriented application. Based on open source like the Spring, Hibernate, Java Server Faces r UI, Groovy for scripting etc. It is fully web based – thin client – and the resulting services are deployed as web services. It is available in English and Spanish. The software starts with a [...]

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 [...]

Syndicated from Smart Data Collective This session was a panel discussion on the cross-industry challenges and solutions in predictive analytics. Panel sessions are tough to blog so here are some highlights. More and more analysts are having to do their own extract, transform, load work to access databases so having modeling tools that handle this, [...]

Syndicated from Smart Data Collective Khosrow Hassibi of KXEN and Will Tangalos of Wells Fargo presented together on the challenges of predictive analytics in the real world and on Wells Fargo as an example of how some of these challenges can be met. Khosrow began with an overview of the basic predictive analytic tasks: Understand [...]

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 [...]

Joe McKendrick pointed me to a story on ABC News today –  ‘Good Morning America’ Gets Answers: Some Credit Card Companies Financially Profiling Customers. The story is worrying and has some good reporting in but, as usual, the analytics behind the whole thing are poorly described. So, first things first. The headline gets us off [...]

Marty Gubar presented on Deliver Depper Insight by Combining Data Mining and OLAP. Marty presented on Oracle’s analytic spectrum and how OLAP and Data Mining fit and can be combined. OLAP and data mining are embedded in the Oracle database and share security, the partitioning, ETL etc. All can be accessed using PL/SQL so cubes [...]

David Griffith from CUNA Mutual Group talked about predictive analytics in a B2B environment. CUNA targets credit unions and cooperatives and their members with software and insurance products. CUNA Mutual needed to acquire new credit union accounts for direct insurance products – credit unions who sign up can offer a full range of insurance products [...]