Fourth Analytics allows users to export dashboards, reports, and graphs so that the data can be further analysed and shared within the business.
The Labour dashboard is a fundamental element of the Fourth Analytics solution and is available to WFM Enterprise and Performance edition customers.
The Labour Dashboard contains a set of Tabs:
- Labour Cost
- Labour Ratio
- Actual vs Approved
- Rota Analysis
The Overview tab provides a high-level analysis of Sales and Labour KPIs for actual, budget, and forecast. Users can clearly identify trends and exceptions, and then navigate to the relevant tab for more details
The Overview tab could be scheduled to users mailboxes as it displays the previous 6 weeks of insight into trends.
Fig.1 - Overview tab
This tab looks at the current week by default. When using the date filter, multiple weeks or a set date range can be selected. This tab focuses on the labour cost, labour % of sales and hours, and allows for further breakdown by location, departments and employee.
Weekly Overview Report
The Weekly Overview Report is available and very useful for scheduling to operations users. The Analytics version of the report includes last year sales.
Fig.2 - Weekly Overview Report
Actual vs Approved
This tab captures Actual (Sales) vs Approved (Sales) using the Forecast Snapshot metric in Workforce Management, taken at the point of Rota approval. If there are no Approved Sales value then the latest Manager Forecast is displayed.
This tab can be used to compare the Forecast Sales and Scheduled Hours at the time of Rota Approval, vs Actual Sales Taken and Hours used. Operations can analyse whether sites are flexing their hours up or down accordingly with demand.
Fig.3 - Actual vs Approved
The Rota Analysis tab can be used to benchmark Locations. The reports include Sales per Labour Hour, which can be used to measure productivity.
Detailed reports provide insight into Average Hours Scheduled per day, per person, and the number of people scheduled per day.
This enables users to compare staffing levels across Locations, taking similar sales.
Fig.4 - Rota Analysis
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