Randy Collica
Principal Pre-Sales Solutions Architect, SAS
Randy Collica is a Principal Pre-Sales Solutions Architect at SAS supporting the retail, communications, consumer, and media industries. His research interests include segmentation, clustering, ensemble models, missing data and imputation, Bayesian techniques, and text mining for use in business and customer intelligence. He has authored and coauthored 11 articles and 2 books. He holds a US patent titled "System and Method of Combining Segmentation Data." He received a BS degree in electronic engineering from Northern Arizona University.
By This Author
Segmentation Analytics with SAS® Viya®: An Approach to Clustering and Visualization
By Randall S. Collica
Segmentation Analytics with SAS® Viya®: An Approach to Clustering and Visualization demonstrates the use of clustering and machine learning methods for the purpose of segmenting customer or client data into useful categories for marketing, market research, next best offers by segment, and more. This book highlights the latest and greatest methods available that show the power of SAS Viya while solving typical industry issues.
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Customer Segmentation and Clustering Using SAS® Enterprise Miner™, Third Edition
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Strategic Analytics and SAS®: Using Aggregate Data to Drive Organizational Initiatives
By Randy Collica
Want to advance your organization's analytic maturity?
Check out Strategic Analytics and SAS®
*This book is out of print.
Customer Segmentation and Clustering Using SAS® Enterprise Miner™, Second Edition
*Replaced by a new edition, Customer Segmentation and Clustering Using SAS® Enterprise Miner™, Third Edition
CRM Segmentation and Clustering Using SAS® Enterprise Miner™
*This book is out of print.
Featured Authors
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.