Workforce Analytics
By combining workforce metrics with sales, customer traffic, and operational data, retailers can better understand how labour impacts business performance and identify opportunities to improve efficiency.
What is workforce analytics?
Workforce analytics uses data from workforce management systems, time and attendance, scheduling, payroll, and other business applications to evaluate how employees and labour resources are performing.
Rather than relying on intuition, retailers use workforce analytics to measure trends, identify issues, and make informed decisions about hiring, scheduling, labour allocation, and employee performance.
Modern workforce management platforms provide dashboards and reports that give managers real-time visibility into workforce performance across stores and regions.
Why is workforce analytics important?
Labour is one of the largest investments for most retailers. Workforce analytics helps organisations understand whether that investment is delivering the expected results.
Workforce analytics helps retailers:
Optimise staffing and scheduling.
Control labour costs.
Identify workforce trends and performance gaps.
Support workforce planning and forecasting.
Improve operational and financial decision making.
Using workforce data effectively allows retailers to balance customer service with labour efficiency.
What metrics are included in workforce analytics?
Workforce analytics may include a wide range of labour and performance metrics, such as:
Labour productivity.
Sales per labour hour (SPLH).
Labour cost percentage.
Schedule adherence.
Labour utilisation.
Employee attendance.
Overtime.
Employee turnover.
Coverage percentage.
Task completion rates.
Many retailers also combine workforce metrics with sales, customer traffic, and operational KPIs to gain a more complete understanding of store performance.
Workforce analytics vs. workforce reporting
Although related, these concepts have different purposes.
Workforce reporting focuses on presenting historical workforce data through reports and dashboards.
Workforce analytics goes a step further by identifying trends, uncovering patterns, and generating insights that help retailers improve future workforce decisions.
Reporting shows what happened, while analytics helps explain why it happened and what actions to take next.
Best practices for using workforce analytics
Retailers can maximise the value of workforce analytics by:
Tracking a balanced set of labour and operational KPIs.
Combining workforce data with sales and customer traffic data.
Using real-time dashboards to monitor performance.
Reviewing trends regularly to identify opportunities for improvement.
Integrating workforce analytics with forecasting, scheduling, and labour optimisation tools.
When integrated with workforce management software, workforce analytics helps retailers improve labour efficiency, optimise staffing decisions, reduce operating costs, and create a more productive workforce while delivering a better customer experience across every location.
