Jan 7, 2024 · This visualization project aims to analyze the Attrition rate of employees and what other factors affect the organization’s overall rate. This carefully designed dashboard aims to …

Jul 22, 2024 · This Power BI report provides a comprehensive analysis of HR attrition data, focusing on understanding and improving employee retention strategies. The analysis uses datasets HR_1 and HR_2, each containing 50,000 records, to offer insights into various aspects of employee attrition and retention.

Jul 15, 2023 · In this first stage, we will focus on visualising the company’s present HR structure, showing our stakeholders the state of all employees which is key to getting a starting position on their...

Mar 8, 2019 · Measure and track attrition using this turonver dashboard, made in Power BI. Use recruitment, leavers data to see trends, identify problem areas and more.

Jul 5, 2024 · This Dashboard aims to delve into employee attrition, uncovering the reasons behind it, identifying the most affected departments, and exploring factors like job satisfaction.

This project aims to develop a Power BI Dashboard to comprehend employee attrition and explore the factors contributing to turnover, facilitating the development of effective retention strategies.

Jun 5, 2023 · Through the lens of this dynamic dashboard, HR teams can gain in-depth insights into attrition rates, unveiling patterns and potential hotspots for concern. A standout feature is the ability to...

This project provides an interactive employee attrition dashboard created using Power BI. It aims to visualize and analyze employee attrition data to gain insights into factors contributing to employee turnover and develop strategies for retention.

Mar 6, 2024 · In this blog post, we’ll guide you through the process of building a powerful HR attrition dashboard using Power BI, a powerful and popular tool for data visualization and business intelligence.

Apr 19, 2024 · Once you've created these measures, you can add them to your Power BI report and use them in visualizations to display the attrition rates. Make sure to adjust the calculations and filters as needed based on your specific data model and requirements.