IBM HR Analytics - Employee Attrition Analysis Dashboard

This is a fictional dataset created by IBM data scientists. My attempt here is to analyse this employee attrition dataset of IBM to make meaningful visualisations and derive actionable insights from it.

The dataset was available as an Excel file with details of 1470 employees, out of which 237 have left the organisation. The analysis was aimed specifically at the dataset of these 237 employees, considering various factors that might have contributed to their leaving the company.

The data was cleaned and prepared for analysis in MS Excel. The analysis and visualisation were done using Power Bi, and a few new columns, like grouping the Age of employees into different Age groups, were done using data transformation techniques in Power Bi.

The Analysis was performed considering multiple parameters like Age, Educational Background, Travel Requirements of the Job, Percentage of Salary Hike offered, Job role, Gender, Marital Status and work-life balance. The dashboard was created and is displayed below.

It can be observed from the dashboard that the age group of 28 to 37 is more prone to leave the organisation. Also, the employees with educational backgrounds in Life science courses are high in attrition. Similarly, there should be more focus on employee retention in the Sales and R&D departments as they show a high risk of people leaving the company. These are some of the major insights which can be directly understood from the dashboard. More insights can be explained if we dive deep into each of these visuals, and all of them can act as guiding lights for the Human Resources department to inculcate more employee engagement activities and training targeted at these high-risk categories. These insights are crucial to designing and implementing HR policies to improve employee retention in the organisation.