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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Neil Constable was a Principal Education Consultant at SAS Institute in the United Kingdom, where he has worked since 2002.
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K. Matthew Windham, CAP is the director of analytics at NTELX Inc., an analytics and technology solutions consulting firm located in the Washington, DC area.
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Sanjay Matange is Research & Development Director in the Data Visualization Division at SAS, where he is responsible for the development and support of ODS Graphics software.
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Michael D. Wallis, MS, is a software engineer at RGP. Previously, he was a developer and former analytical consultant in Artificial Intelligence and Machine Learning, Research and Development at SAS.