At a glance
Loaded pay includes gross compensation and employer contributions. In Reflect, Total paid represents this cost over the selected period, within the scope of the data imported and the pay items correctly normalized.
Total paid includes only items classified as Base salary, Variable salary, Salary bonus or Employer contribution. Items with no payroll type or classified as Ø (excluded) do not contribute to it. Connecting payroll alone therefore does not guarantee a complete cost.
What loaded pay shows you, and where to find it
Dashboards > Payroll (actual): the Loaded pay metrics section shows Total paid and Total employer contribution, which isolates items classified as Employer contribution.
Data query builder: analyze Total paid by month, entity, employment category or contract type. Filter Pay type on Employer contribution to isolate contributions; use Pay category to inspect individual pay items.
Prism: ask, for example, “What was my total employer cost over the last 12 months?” or “How much did I pay in employer contributions each month this year?”.
Why normalize employer contributions?
Normalization identifies the nature of each imported pay item. An employer contribution with no payroll type is missing from both Total paid and Total employer contribution. An incorrect classification can also shift an amount between gross compensation and contributions.
The Completeness bar helps identify values that are still empty. It measures whether normalizations are filled in, not whether classifications are correct or all expected payslips, employees and months are present. Also compare amounts with your payroll manager, using the same period and scope.
Before you begin
Your source must provide payroll amounts and employer contributions for the required period.
To edit normalization, you must be an Administrator or have editing access to the relevant source. To view analyses, you need access to remuneration data and the scope being analyzed.
How to normalize employer contributions
For help using the screen, see Data Normalization.
Open Data management > Data normalization, then select Pay category under Category. Select the source and period to check.
Click Edit mappings. For each employer contribution identified with your payroll manager, choose Employer contribution in the Payroll type column.
Click Save mappings. After the next data update, compare Total employer contribution and Total paid with your payroll, using the same filters.
Avoid double counting. Employee contributions are already included in gross pay: do not classify them as Employer contribution. If your source provides both a contribution total and its detailed items, do not count both. Ask your payroll manager to confirm which items to include.
Find your payroll software guide
For instructions specific to your payroll software, use the guide link associated with your data source in the Reflect app.
FAQ and troubleshooting
My Total employer contribution is empty or too low.
My Total employer contribution is empty or too low.
Check that employer amounts have been imported for the expected months and employees, then that their pay items are classified as Employer contribution. Check the period, filters and your access rights. After correcting normalization, wait for the next data update. If the discrepancy persists, send support the source, period and pay items concerned.
My Total paid seems too high.
My Total paid seems too high.
Items with no payroll type or classified as Ø (excluded) do not contribute to Total paid. Check the items included, any double counting between a total and its detail, and employee contributions incorrectly classified as employer contributions. Then compare the same employees, months and entities with your payroll.
I cannot find a guide for my payroll software.
I cannot find a guide for my payroll software.
Contact your Customer Success contact or Reflect support to find the appropriate guide and check whether your connection or export provides employer contributions. Specify the software, connection method and expected period. Having a connected source alone does not guarantee that this data is available.