Peter Loader

Predictive modelling is used to forecast future outcomes. Businesses can use this information to prepare how to react or to make changes that will affect these outcomes. PL Insights uses two main types of predictive modelling:

Discrete event simulation models mimic the behaviour of a real life business processes. Model inputs can then be changed and the resultant impact on outcomes quantified. This means that proposed change can be tested prior to implementation to ensure that desired outcomes will be achieved.

Forecasting  models use statistical techniques to extrapolate historical data forward to predict outcomes such as future demand for services. These models aid planning by ensuring that the right resources are in place when changes in demand occur.