This white paper introduces Workforce Auditor, included in Workforce Analytics, which uses a Big Data approach to workforce auditing. The approach uses k-means clustering, a well-known and robust unsupervised machine-learning technique for detecting patterns in multivariate data. These patterns can then be used as an entry point for auditors or other high-level users who want to understand typical behavior in their organization, find patterns of deviant behavior, and also uncover specific instances that contribute to these patterns.

Clustering with Workforce Auditor

Overall, an analytics view of workforce auditing provides the best of both worlds: combining quantitative statistics with the general organization-wide views customers need to understand the inner workings of their businesses and taking actions to make it better.