This document discusses HR analytics and provides examples of how analytics can be used in areas like sourcing, performance and compensation, and attrition. It notes that while there is a lot of HR data, it is often stored in spreadsheets that have limitations for large amounts of data. HR analytics can help with predictive modeling in sourcing to assess candidates and predicting attrition. The document also gives examples from Google of how HR analytics have led to increases in key business metrics. It introduces some common analytics techniques used like decision trees and regression.