Optimizing Decision-Making: HR Analytics Dashboard for Business Intelligence

Welcome to the HR Analytics Dashboard repository! This project focuses on leveraging People Analytics to optimize decision-making in human resource management through insightful data visualizations and dashboards.

🛠️ Business Problem

The company faces several challenges in human resource management, including prolonged recruitment processes, high turnover rates, low employee performance, lack of diversity representation in the workplace, high absenteeism rates, and limited age diversity within the team.

🎯 Objectives

To address these challenges, the main objectives of this project are:

1. Increase Recruitment Efficiency: Streamline the recruitment process to reduce the time it takes to hire new employees.
2. Improve Employee Retention: Understand the causes of turnover and increase employee satisfaction and engagement to retain talent.
3. Enhance Employee Performance: Create a supportive work environment to boost employee performance.
4. Strengthen Workplace Diversity: Implement an inclusive recruitment strategy to improve diversity representation.
5. Reduce Absenteeism: Enhance employee well-being to lower absenteeism rates.
6. Increase Age Diversity: Promote inclusive career coaching policies to ensure diverse age representation within the team.

📈 Key Metrics

Recruitment & Turnover Analytics

This section includes metrics that help analyze the recruitment process and employee turnover:

• Time to Hire: Duration taken to recruit new employees.
• Recruitment Effectiveness: Efficiency of the recruitment process.
• Employee Retention: Rate at which employees stay with the company.
• Employee Turnover Rate: Percentage of employees leaving the company.
• 90-Day Failure Rate: Rate of new hires leaving within the first 90 days.
• Termination Analysis: Reasons behind employee terminations.

Employee Performance Analytics

This section focuses on metrics that gauge employee performance and satisfaction:

• Employee Satisfaction: Level of employee contentment.
• Employee Engagement: Degree of employee involvement and enthusiasm.
• Employee Productivity: Measurement of employee output and efficiency.
• Absenteeism Rate: Frequency of employee absences.
• Employee Salary: Analysis of salary distribution and satisfaction.

Employee Diversity

This section measures diversity within the organization:

• Age Distribution: Representation of different age groups.
• Race Distribution: Representation of various races.
• Marital & Married Status: Breakdown of employees' marital status.
• Gender Distribution: Proportion of different genders.
• Employee Geo Location: Geographical distribution of employees.
• Citizenship: Representation of employees' citizenship.

🧩 Dashboard

For detailed visualizations and further exploration of our data, please visit our Tableau dashboard:

🔰 HR Analytics Dashboard in Tableau Public

Dashboard Page 1 Dashboard Page 2 Dashboard Page 3

🚀 How to Use

To get started with this project:

1. Clone the repository: git clone https://github.com/Latiifff/HR_Analytics_Dashboard.git
2. Open the Tableau files included in the repository.
3. Connect the Tableau files to the clean dataset.
4. Explore and customize the dashboards as needed.
5. Alternatively, you can access the dashboard on my Tableau Public with Click Here.