Workforce

This Tableau Accelerator allows you to:

• Assess the composition of your workforce and how it trends
• Assess and Reduce Employee Churn
• Predict which employees are the most likely to churn
• Drill-back at “Employee” level of detail, directly in your HR Application and take immediate actions

Demo video

Answer key business questions

• What is our current headcount? How many FTEs do we have?
• What is our number of global FTEs, and how is it evolving?
• What is the seniority of our employees?
• What is our employee turnover? Which departments are the most impacted by employees who leave?
• What is the gender balance in our company? How is it evolving?
• What is the career detail of this specific employee?

Monitor and improve KPIs

Employees

• Headcount: Number of employees being employed by the organisation at the end of a given period (a part-time employee counts as one)
• FTE: Number of full-time-equivalent employees being employed by the organisation at the end of a given period (a part-time employee at 50% counts as 0.5)
• Year(s) of service: Average number of years employees have spent in the organisation (expressed in years)
• Avg Age: Average age of employees (expressed in years)
• Avg Occupation Rate: Average occupation rate across employees (expressed in %)
• Part-time Employees: Number of employees working part-time, namely that their occupation rate is less than 100% (expressed in %)
• Part-time Employee %: Number of employees working part-time, namely that their occupation rate is less than 100% (expressed in %)

Employee Churn

• Starters: Number of employees starting in the organisation
• Leavers: Number of employees leaving the organisation
• Employee Churn Rate: Share of employees who left the company in the last 12 months (expressed in %)

Required attributes

The requested data set is a snapshot of all employees, on a monthly basis:

• Month (date): Month snapshot
• Organisation (string): Organisation to which the employee belongs to
• Department (string): Department to which the employee belongs to
• Employee # (string): Employee unique identifier
• Employee (string): Employee name
• Birth Date (date): Employee birth date
• Gender (string): Employee gender “Male”, “Female”
• Nationality (string; role: country): Employee nationality
• Entry Date (date): Employee entry date in the organisation
• Position (string): Employee position at the month of the snapshot
• Occupation Rate (numeric): Employee occupation rate. [0.5 stands for 50%; 1 stands for full-time employees]