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.
Today is the day I’m presenting at the PASS Summit. My session is at 3pm in room 609-610 and is titled See the Future with Visual Predictive Analytics. It shows you how to do some cool things with Reporting Services and Data Mining in Analysis Services by creating predictive models that drive the reports. However, it’s more of an idea session that I hope will put a spark in people when they go back to work next week. They’ll be able to take what they see in the session back to their companies, apply it to their own projects, and do some things that will provide them with a big bang for the buck and a great ROI, which we all know management loves.
I hope to see you there and please say hello! I welcome any questions and conversation you might have.
I’ve been too busy to post lately and now SQL Saturday #92 in Portland, OR is upon us. Since I didn’t recap SQL Saturday #94 in Salt Lake City on September 10 and thank everyone, I’m going to take this opportunity to do so before the event in the rose city this weekend. The gathering in Salt Lake was one of the smaller SQL Saturdays I’ve attended, but that has its advantages because the sessions allow for a much more intimate setting and better interaction among participants. I had 15 people attend the preview of my PASS Summit session See the Future with Visual Predictive Analytics and I feel like I got to know everyone who was there. I got to spend a time talking to interesting people like Paul Turley, the Reporting Services author, who I had met before but this time had the chance to get to know personally. A very gracious than you goes to the organizers, especially Pat Wright, Tjay Belt, and all the others who worked hard to make it happen.
What made this SQL Saturday special was the presence of the continuing participation of the Colorado community that has been so active in these type of gatherings. People that have become good friends volunteered their time as speakers including Marc Beacom, Jason Horner, Chris Shaw, Mike Fal, and Gabriel Villa. It’s been a blast to be part of this group and I look forward to many more. And if you haven’t been to a SQL Server event, your missing out. There is something unique about this community and you have to just see for yourself.
Now on to Portland…