FVC2217. Using Advanced Analytics, Visualization, and Statistics to Identify Bid-Rigging in the Public Sector

Using a case study of the Charbonneau Commission in Quebec, I explain how we used advanced analytics including correlation analyses and regressions, as well as best practice visualization techniques and other statistics to identify vendors who had been colluding to win contracts at an inflated price. I will also cover how conventional techniques such as applications of Benford’s Law can be modified in order to identify actual fraudulent behaviour rather than yielding a significant amount of false positives (or false negatives).

Learning Objectives:

• Identify the link between local laws and related analytics that can be performed
• Compare different cases of collusion and corruption
• Analyze statistical techniques and their impact: Correlations, Regression, etc.