Clustering with Workforce Auditor

A powerful Big Data approach to workforce auditing.

Clustering with Workforce Auditor

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.

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More about this white paper

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.