JT on EDM

The use of analytics in business decisions, presented by one of InfoCentricity’s customers, was next. In many organizations modelers are busy building predictive models that they then throw over the wall to a business analyst. To bridge this gap you need a collaboration platform that allows modelers to do their thing while allowing business analysts [...]

Sue Gonella presented on some efficiencies in building predictive scorecards. In particular she covered the  use of sampling data vs using all records into a model development exercise.
Rather than using all records she advocated using stratified random sampling where a sample of each group of interest is used to build and validate the models. This [...]

Delivering the best value proposition using segmentation is a multi-step journey with 6 main steps and some critical differences from other analytic approaches:

Define Segmentation Objectives
The first step - deciding why to build a segmentation scheme - is important but often overlooked. Reasons may include declining financial performance, changes in strategy or market trends - the [...]

Nina Shikaloff discussed an analytics technique that I had not heard of - Impact Modeling. Impact Modeling is a decision modeling technique. Decisions on acquiring customers - what to offer for instance - managing customers and handling difficult customers are all important and it can be tricky to identify better ones. Impact modeling is about [...]

One of the things I like to do on the blog is bring attention to those companies applying the principles of Enterprise Decision Management to deliver useful, smart enough systems. I recently came across Strategy DirectorTM from Stratagem Portfolio Services. This uses EDM to deliver analytics and strategy support for collections.
The product is built on [...]

I recently got an overview of InfoCentricity and their analytic product, Xeno. InfoCentricity is an analytic solutions company focused on helping customers find the insights buried in their data. They see a gap between BI-like analytic tools and data mining/analytic tools like SAS or S where you need to be a programmer. Their objective is [...]