Forecasting The type of forecasting that should be in place at an insurance company is time series analysis, as it is through this approach to forecasting that prior demands are used to predict future demands (Chase et al. 2005). At the particular insurance corporation in question, this is precisely the type of forecasting that is in place; the number of claims expected in a given period of time is based on the number of claims (in relation to the number of clients covered by insurance policies) in previous comparable time periods, and perhaps more importantly the specific time demands of any given claim are predicted based on the average times of claims handled by the organization. For firms like insurance companies where per-unit "production" times and resource demands vary, time series analysis is an essential means of forecasting to ensure proper human and other resources...

2008). For insurance companies, however -- for the particular insurance company in question, at least, and presumably for all insurance companies that manage to meet their growth and profitability targets -- this method of forecasting is quite effective. The averages used to make forecasts are derived from large and ever-growing data populations, increasing their accuracy, and the accuracy of the data used is one of the key factors in determining the accuracy of forecasts and predictions (Chase et al. 2005; Armstrong 2001).
The adoption…