Integrating Diversity, Equity, and Inclusion (DEI) effectiveness metrics into recruitment analytics

The proposed book chapter aims to integrate diversity, equity, and inclusion (DEI) metrics into recruitment analytics of the hiring process of a data science start-up company. A CRISP-DM (cross-industry standard process for data mining) methodology is used to develop a predictive model that can accurately predict whether a candidate will be hired based on the available data to identify the best features highly correlated to hiring. HR metrics focusing on DEI would be integrated into the model to help build a more diverse and inclusive team. The proposed chapter contributes to the growing research on integrating DEI metrics into recruitment analytics. It provides a practical example of achieving this in a real-world setting. Integrating DEI metrics into recruitment analytics provides insights to organizations to build more diverse and inclusive teams, leading to better decision-making, and increased productivity.