Business Intelligence SIG: A Gentle Introduction to R and its Applications in Business Intelligence.
A Gentle Introduction to R and its Applications in Business Intelligence.
R, the open source environment for statistical computing and data analysis, has been adopted by over one million users worldwide since its V1.0 release in February, 2000. Although primarily used within academia, the life sciences, and financial engineering firms, R has promise in areas overlapping with "Business Intelligence."
Specifically, R is a powerful tool for marketing applications such as customer segmentation and cluster analysis, and can be used to achieve a better understanding of business data in general.
We will start with a brief history of R and its present areas of use.
We will then position R's functionality within the BI space and highlight its strengths compared to classical BI tools.
For the techies, we'll show R in action and discuss some of the language's powerful features. Most of the presentation, however, will be a series of brief case studies showing concrete uses of R in our respective practices. After the formal presentation, we invite interested R users to stay for a few minutes to discuss forming a local "Use R" group.
Jim is the Senior Director of Analytics at Responsys, Inc. in San Francisco. He has been doing Business Intelligence for the last 20 years, focusing on marketing applications for the last decade. He has actively used R, since 2002 and last presented R to the BI Sig in October, 2004. Next month Jim will give one of the dozen invited tutorials at useR 2008, in Dortmund, Germany - "Using R for Customer Segmentation" a sequel to his 2006 presentation in Vienna on Customer Intelligence.
Michael is a Principal at Dataspora, Inc. a business analytics consultancy in San Francisco. He has a decade of experience using large-scale databases and data mining algorithms within industry, government, and academic institutions. He founded and since 2000 has served on the board of CustomInk.com, an Inc. 500 e-commerce firm.
Michael has a Ph.D. in Bioinformatics & Systems Biology from Boston University, where he used R for the analysis and visualization of genome data.
Building D, Southern Cross Room
3410 Hillview Avenue
Palo Alto, CA 94304
6:30 - 7:00 p.m. - Networking
7:00 - 8:30 p.m. Presentation and Discussion
$15 at the door for non-SDForum members
No charge for SDForum members
No registration required
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