I have a busy week coming up and it’s going to start with something I’m really looking forward to. On Tuesday September 18 I’m going to be presenting in front of the Colorado chapter for The Data Warehousing Institute (TDWI). I’ve been a member of TDWI for a long time and I’ve been attending the TDWI meetings in Colorado since the beginning of the chapter back in 2007, but I’ve never been the speaker. The chapter has always been good at attracting top-notch speakers including Bill Inmon, Laura Reeves, Dr. Richard Hackathorn and Len Silverston. The topic I’m covering is predictive analytics and will include a discussion of successful case studies as well as some demonstrations showing how to create and use predictive models.
The meeting is at 1pm on Tuesday September 18 at the Englewood Civic Center. Click on the TDWI Chapter link to get the address and other details.
Pervasive Predictive Analytics
Modern day computing power makes it possible to create sophisticated data mining models that forecast and predict, perform anomaly detection, and classify data. In this foundational presentation Carlos Bossy will provide an overview of data mining concepts and processes. You’ll see how to develop predictive models through the entire lifecycle and incorporate them into your applications and reports in a way that impacts the decision-making ability of everyone in your organization. In addition we’ll take a look at a case study showing how an actual model was developed to manage the cost of health care claims. Through this study you will learn how to choose a meaningful project with a high likelihood for success, including setting a prediction target, selecting the appropriate data, and adapting it for maximum results. Take a step towards making data mining pervasive in your organization by integrating predictive models into your architecture.