Case Study –Employee Attrition Model

Industry

Banking (BFSI)

Function

Employee Attrition Analysis

Business Challenge

A major bank in KSA sought to enhance decision-making within the HR department by implementing predictive analytics to address employee attrition. The project involved conducting a detailed data audit and integrating multiple use cases into their existing analytics infrastructure, primarily using Dataiku and Tableau.

Project Objective

Focus on employee retention by identifying key factors influencing attrition.
Demonstrate the impact of predictive analytics on addressing business challenges.

Approach & Solution

Data Sources:

HRMS data
Employee Satisfaction Survey data (Medallia)
Employee Performance data (Oracle HCM)

Tools Used:

Data Management & Integration: Dataiku
Visualization: Tableau

Solution Implementation:

Built an employee attrition model to predict retention risks and inform strategies.
Utilized Random Forest methodology, achieving 86% accuracy.

Project Outcome

Identified X% of employees with over 85% probability of attrition.
Mapped employee performance to attrition data to develop targeted retention strategies.
Demonstrated the effectiveness of predictive analytics in enhancing employee retention.