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. 

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Randy Collica | SAS Support

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

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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