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Gary Cokins

Founder and CEO, Analytics-Based Performance Management LLC

Gary Cokins is an internationally recognized expert, speaker, and author in enterprise and corporate performance management improvement methods and business analytics. He is the founder of Analytics-Based Performance Management, an advisory firm located in Cary, North Carolina at www.garycokins.com . Gary received a BS degree with honors in Industrial Engineering/Operations Research from Cornell University in 1971. He received his MBA with honors from Northwestern University’s Kellogg School of Management in 1974.

Gary began his career as a strategic planner with FMC’s Link-Belt Division and then served as Financial Controller and Operations Manager. In 1981 Gary began his management consulting career first with Deloitte consulting, and then in 1988 with KPMG consulting. In 1992 Gary headed the National Cost Management Consulting Services for Electronic Data Systems (EDS) now part of HP. From 1997until 2013 Gary was a Principal Consultant with SAS, a leading provider of business analytics software.

His two most recent books are Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics, and Predictive Business Analytics. His books are published by John Wiley & Sons.

Gary regularly presents at conferences for the AICPA and state CPA societies. He is certified CPIM with The American Production and Inventory Control Society (APICS). He is currently the part time Executive in Residence for the Institute for Management Accountants (IMA).


Recorded Webinars
Gary Cokins

Analytics-based Enterprise Performance Management

Many organizations are far from where they want and need to be with improving performance, and they apply intuition, rather than hard data, when making decisions. Enterprise and corporate performance management (EPM / CPM) is now viewed as the seamless integration of managerial methods such as balanced scorecards, strategy maps, enterprise risk management, driver-based planning and budgets, rolling financial forecasts, activity-based costing (ABC), customer profitability and relationship management, supply chain management, lean and Six Sigma quality management, and resource capacity planning. Each one should be embedded with business intelligence (BI) and business analytics (BA) of all flavors; such as correlation, segmentation, and regression analysis; and especially predictive analytics. This presentation will describe how to complete the full vision of analytics-based enterprise performance management to improve organizational performance.

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