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. 

Coming Soon

Segmentation Analytics with SAS® Viya®: An Approach to Clustering and Visualization

By Randall S. Collica
Anticipated publication date: Second quarter 2021

This book is about one of the most popular analytic methods that is used by all industries, and that is clustering and segmentation. This book will endeavor to use the latest and greatest methods available that shows the power of SAS Viya while also solving typical industry issues. It will also cover how to combine segments into one segmentation while retaining the information content of the input segments – ensemble segmentation with business applications. The main book’s subject is on the use of clustering and ML methods for the purpose of segmenting customer or client data into useful categories for marketing, market research, next best offers by segment, etc.

By This Author

Customer Segmentation and Clustering Using SAS® Enterprise Miner™, Third Edition

Strategic Analytics and SAS®: Using Aggregate Data to Drive Organizational Initiatives

*This book is out of print.

CRM Segmentation and Clustering Using SAS® Enterprise Miner

By Randy Collica

*This book is out of print.

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