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.
Customer Segmentation and Clustering Using SAS® Enterprise Miner™, Third Edition
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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A SAS user since 1986, Robert Obenchain is Principal Consultant at Risk Benefit Statistics LLC in Carmel, Indiana.
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Rebecca A. Ottesen first learned SAS as a student at California Polytechnic State University, San Luis Obispo, where she now teaches.
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Michael Patetta has been a statistical instructor for SAS since 1994. He teaches a variety of courses including Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio, Predictive Modeling Using Logistic Regression, Introduction to Data Science Statistical Methods, and Regression Methods Using SAS Viya.
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Dr. Carlos Pinheiro is a Principal Data Scientist at SAS and a Visiting Professor at Data ScienceTech Institute in France. He has been working in analytics since 1996 for some of the largest telecommunications providers in Brazil in multiple roles from technical to executive.