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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
*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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Randy Collica is a Principal Pre-Sales Solutions Architect at SAS, supporting the retail, communications, consumer, and media industries.
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Michael N. Lewis is Senior Director of Enterprise Analytics at Cleveland Clinic. He directs an industry-leading, cross-functional team to promote the design, implementation, and monitoring of innovative solutions to drive fact-based decision making for planning, management, measurement, and learning.
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Tho H. Nguyen is an author, a data and analytics adviser, and a technology enthusiast delivering value-added business solutions with emphasis on increasing economics, governance, and performance. With over 20 years in leadership roles, he has extensive experience in management, an active speaker on analytic and data management topics, a philanthropist who believes in “paying it forward,” and a community leader and volunteer promoting inclusion and diversity.
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Naeem Siddiqi is director of Credit Scoring and Decisioning, Risk and Quantitative Solutions, at SAS Institute.