Keith McCormick is the Vice President and General Manager of QueBIT Consulting'sAdvanced Analytics team. He brings a wealth of consulting/training experience in statistics,predictive modeling and analytics, and data mining. For many years, he has worked in theSPSS community, fi rst as an External Trainer and Consultant for SPSS Inc., then in a similarrole with IBM, and now in his role with an award winning IBM partner. He possesses a BS inComputer Science and Psychology from Worcester Polytechnic Institute.He has been using Stats software tools since the early 90s, and has been training since1997. He has been doing data mining and using IBM SPSS Modeler since its arrival in NorthAmerica in the late 90s. He is an expert in IBM's SPSS software suite including IBM SPSSStatistics, IBM SPSS Modeler (formally Clementine), AMOS, Text Mining, and Classifi cationTrees. He is active as a moderator and participant in statistics groups online includingLinkedIn's Statistics and Analytics Consultants Group. He also blogs and reviews relatedbooks at KeithMcCormick.com. He enjoys hiking in out of the way places, fi nding unusualsouvenirs while traveling overseas, exotic foods, and old books. Dean Abbott is the President of Abbott Analytics, Inc. in San Diego, California. He hasover two decades experience in applying advanced data mining, data preparation, anddata visualization methods in real-world data intensive problems, including fraud detection,customer acquisition and retention, digital behavior for web applications and mobile,customer lifetime value, survey analysis, donation solicitation and planned giving. He hasdeveloped, coded, and evaluated algorithms for use in commercial data mining and patternrecognition products, including polynomial networks, neural networks, radial basis functions,and clustering algorithms for multiple software vendors.He is a seasoned instructor, having taught a wide range of data mining tutorials andseminars to thousands of attendees, including PAW, KDD, INFORMS, DAMA, AAAI, and IEEEconferences. He is the instructor of well-regarded data mining courses, explaining conceptsin language readily understood by a wide range of audiences, including analytics novices,data analysts, statisticians, and business professionals. He also has taught both appliedand hands-on data mining courses for major software vendors, including IBM SPSS Modeler,Statsoft STATISTICA, Salford System SPM, SAS Enterprise Miner, IBM PredictiveInsight, TibcoSpotfi re Miner, KNIME, RapidMiner, and Megaputer Polyanalyst. Meta S. Brown helps organizations use practical data analysis to solve everyday businessproblems. A hands-on analyst who has tackled projects with up to $900 million at stake, sheis a recognized expert in cutting-edge business analytics.She is devoted to educating the business community on effective use of statistics, datamining, and text mining. A sought-after analytics speaker, she has conducted over 4000 hoursof seminars, attracting audiences across North America, Europe, and South America. Herarticles appear frequently on All Analytics, Smart Data Collective, and other publications. Sheis also co-author of Big Data, Mining and Analytics: Key Components for Strategic Decisions(forthcoming from CRC Press, Editor: Stephan Kudyba).She holds a Master of Science in Nuclear Engineering from the Massachusetts Institute ofTechnology, a Bachelor of Science in Mathematics from Rutgers University, and professionalcertifi cations from the American Society for Quality and National Association for HealthcareQuality. She has served on the faculties of Roosevelt University and National-Louis University. Tom Khabaza is an independent consultant in predictive analytics and data mining, andthe Founding Chairman of the Society of Data Miners. He is a data mining veteran of over 20years and many industries and applications. He has helped to create the IBM Scott R. Mutchler is the Vice President of Advanced Analytics Services at QueBIT Consulting LLC. He had spent the first 17 years of his career building enterprise solutions as a DBA, software developer, and enterprise architect. When Scott discovered his true passion was for advanced analytics, he moved into advanced analytics leadership roles where he was able to drive millions of dollars in incremental revenues and cost savings through the application of advanced analytics to most challenging business problems. His strong IT background turned out to be a huge asset in building integrated advanced analytics solutions. Recently, he was the Predictive Analytics Worldwide Industrial Sector Lead for IBM. In this role, he worked with IBM SPSS clients worldwide. He architected advanced analytic solutions for clients in some of the world's largest retailers and manufacturers. He received his Masters from Virginia Tech in Geology. He stays in Colorado and enjoys an outdoor lifestyle, playing guitar, and travelling.
