How you benefit from “Compensation Online plus”
Your advantages with “Compensation Online plus - market & gaps”
- Reporting obligations regarding the pay gap
Regardless of whether it concerns statutory reporting requirements or reports requested by management. With Compensation Online plus - market gaps, you can report seamlessly. - Always keep an eye on the market
Adjusting remuneration levels due to pay gaps carries the risk of distancing yourself from the market. That is why it is important to always keep an eye on the market. With Compensation Online plus - market & gaps, you can always keep an eye on pay gaps and market remuneration based on identical data selections. - Free choice of selection criteria
By configuring the API/data import, you determine which positions and personal characteristics are to be included in the analysis. Typical examples are age, length of service, gender and location. However, this selection data can be expanded as desired to broaden your analyses in a targeted manner. - How are actual and market remuneration structured according to career level, gender or organizational units?
Comparing actual compensation with market compensation or comparing compensation in different areas of the organization is at the heart of every salary analysis. These analyses are now available at the touch of a button.
- Compensation Analytics
With the analysis options and free selection of salary data, compensation analytics becomes child's play. You can implement all actual and market compensation analyses as well as gap analyses by department or age group, by gender or with freely expandable selections. Reports are generated automatically and create transparency across all areas of the compensation landscape. - EU pay transparency
With Compensation Online plus - market & gaps, you can fulfill your reporting obligations. We provide not only the unadjusted pay gaps but also the adjusted pay gaps.
Three iterations are available here:
- Adjustment using the weighted average
- Adjustment using linear regression of the data sets, and
- Adjustment based on the function/career/pay scale level of the positions