Post by Daniel J. Finkenstadt
Chief Innovation Officer | Author of Bioinspired Strategic Design (2024) | Consultant @Wolf Stake Consulting | Anything I say on LinkedIn is my own opinion. | Note: I NEVER accept anything marketed to me on LinkedIn.
Most people I meet agree that CPARS is generally broken - GAO seems to support that. This system collects contractor performance data but keeps it isolated from other contract information, making it impossible to learn from past experience. In this brief article I attempt to demonstrate how predictive analytics could transform this unused data into acquisition insights. Using synthetic data, I show how contract features might predict performance outcomes... a method that needs testing with real CPARS information. The research highlights why we need to overhaul performance tracking: to turn CPARS from a compliance checkbox into a decision-making asset. Interested in data-driven contracting? Check out how we could use performance metrics to actually improve acquisition planning. Anne Laurent Kraig Conrad, CAE, CTP John Tenaglia Peter Guinto Jan-Benedict Steenkamp Tojin T. Eapen Dr. Clark N. Banach Chaun Burnette Amanda Thompson, CFCM, Fellow Amanda Bresler Cherish Lesko Ed.D., Ph.D. Kori McNabb Tim Cummins Tim Hawkins, Ph.D. Rob Handfield Brett Josephson
