Dr. Goutam Chakraborty has a B. Tech (Honors) in mechanical engineering from the Indian Institute of Technology, Kharagpur; a PGCGM from the Indian Institute of Management, Calcutta; and an MS in statistics and a PhD in marketing from the University of Iowa. He has held managerial positions with a subsidiary of Union Carbide, USA, and with a subsidiary of British American Tobacco, UK. He is a professor of marketing at Oklahoma State University, where he has taught business analytics, marketing analytics, data mining, advanced data mining, database marketing, new product development, advanced marketing research, web-business strategy, interactive marketing, and product management for more than 20 years. Goutam has presented numerous programs and workshops to executives, educators, and research professionals in the US, Europe, Asia, and the Middle East. He has won many teaching awards, including the SAS Distinguished Professor Award from SAS Institute, and he teaches the popular SAS Business Knowledge Series course, "Text Analytics and Sentiment Mining Using SAS."
Goutam's research has been published in many scholarly journals, such as the Journal of Interactive Marketing, Journal of Advertising Research, Journal of Advertising, Journal of Business Research, and Industrial Marketing Management. He coauthored the book Contemporary Database Marketing. In addition, Goutam has served on the editorial review board of the Journal of Business Research and Journal of Academy of Marketing Science. He serves as a member of the SAS Customer Analytics Advisory Board and the JMP Discovery Summit Steering Committee. Goutam has also consulted extensively on issues related to developing digital business strategy, building and managing customer relationships, product development, and management and creation of e-business models with companies such as Aetna, Mercruiser, Thrifty Rent-A-Car, Berendsen Fluid Power, Globe Life Insurance, Vanguard Realtors, Hilti, and Love's Travel Stops. He is the founder of the SAS and OSU Data Mining Certificate program as well as the SAS and OSU Business Analytics Certificate program at Oklahoma State University.
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Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS®
This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries.
2014-2015 Society for Technical Communication
Award of Excellence: Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS®
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.