Recruitment Forecasting Solutions – Automate Data-Driven Predictions

Don't compromise on accuracy

Good forecast models depend on robust assumptions and the inclusion of the key drivers of performance.

However the more complex the manual model, the longer it can take to refresh and the more likely that it will contain errors.

Instead, link the model directly to the data sources to update the key metrics and build robust workflows that eliminate manual errors.

By accessing the underlying data sources, future receipts and payments can be predicted with a much higher degree of accuracy.

With the risk of manual errors eliminated, more complex calculations can be introduced, without any impact on the time to refresh the model.

In recruitment, an accurate cashflow forecast needs to take into account the following feeds:

Through automation, your business can benefit from a more accurate model that can be refreshed daily