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Currently I'm ...

Reading
Recently finished Analytics at Work: Smarter Decisions, Better Results by Davenport, Harris, and Morison (2010, Harvard Business Press). I've assigned it as companion reading for the students who take the Advanced Business Analytics course I'm writing right now. It is an excellent reference for anyone who wants a roadmap for how to help their organization embrace analytics. The book stops short of explaining statistical analyses, leaving those topics to other writers, but what most good data mining books lack, this book addresses the characteristics of analytical leadership, pitfalls to implementing analytics in a business, and ways to get management buy-in for analytics.

Writing
Advanced Business Analytics 1. This course is a collborative effort by statisticians in the Education division at SAS and professors at some of the top business schools in the US. The course will be given, free of charge, to professors at graduate programs in universities around the world, in an effort to sharpen the analytical teeth of tomorrow's business leaders. The course is largely designed for MBA students, although we are hearing buss from statstics, economics, marketing, and management information systems departments as well. We are preparing a kick-off training for about 35 professors this summer, and will likely hold additional training event in the future, should demand warrant. The course is essentially an introduction to data mining with a heavy emphasis on solving business problems. Students coming out of the course should be prepared to manage analytical staff, to make smart decisions when working with statistical analysts, and move their businesses toward a more analytical model of decision making.

Listening to
I have been on a really weird Gilbert and Sullivan kick lately. Why? I used to listen to all of their operettas as a kid, and now I find myself trying to sing something from Yeomen of the Guard or the Pirates of Penzance to my kids and I have to download the song to get the lyrics right. Well, at least it has cleared the ABBA backlog I had in my brain the last 3 months. (Thank you very much, Mamma Mia DVD, for making my 3-year-old a diva).

Hearing
I'm hearing a lot more about structural equation modeling lately. It is no coincidence that JMP and SAS/STAT development teams are producing a point-and-click interface to perform SEM within JMP, which calls the newly-improved PROC CALIS. It's a really slick interface, if you get a chance to preview it at a conference. The sudden resurgence of interest in SEM is encouraging, because SEM is one of the more interesting modeling techniques around. I'm hearing a lot about SEM in pharmaceuticals, manufacturing, and insurance. If you have an example where your organization is using SEM, shoot me a comment or an email to share how you're using it. I'd love to hear from you!

Considering
John Naisbitt's High Tech High Touch. Chatting with a colleague, Tom Henry, in the breakroom this morning got us thinking about how important it is to have personal contact with customers. Not everyone wants or needs to talk to a sales rep (I am generally in the category of "Don't call me, I'll call you" when it comes to sales reps). With the great advances in data integration, automated analytics, scoring, and marketing automation, there are fewer reasons than ever to have to talk to a real person when purchasing a product or service. But then there are situations that scream for an exception. A customer calls software sales, wanting a training quote for an Enterprise Guide course, covering programming to address stacking and nesting, preparing data for perceptual mapping. No automated system will place this person into the right course. Tom recognizes that this is the time to pick up the phone and talk -- what do you need to do? What are you doing now? What do you need to do differently? At the end of the day, high tech is able to clear the space for Tom to have that critical High Touch with someone who really needed it. And he won't waste time calling someone who would rather just "buy online."

Do you have technlogy working for you to make it easier to identify those critical touch situations?

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About Author

Catherine (Cat) Truxillo

Director of Analytical Education, SAS

Catherine Truxillo, Ph.D. has written or co-written SAS training courses for advanced statistical methods, including: multivariate statistics, linear and generalized linear mixed models, multilevel models, structural equation models, imputation methods for missing data, statistical process control, design and analysis of experiments, and cluster analysis. She also teaches courses on leadership and communication in data science.

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