Forecasting made easy with SPSS Statistics

Forecasting with time series analysis has been used in both the public and commercial sectors for decades.  Example applications include:

  • Forecasting passenger numbers at ferry and airport terminals
  • Estimating inbound call volumes to contact centres
  • Predicting the load on information networks based on shift patterns and external events
  • Using weather data to estimate visitor numbers at key attractions

In just one hour we will cover:-

  • The principles of time series forecasting
  • Visualising time series
  • Defining periodicity
  • Using exponential smoothing methods
  • Interpreting model fit
  • Incorporating predictor fields to improve forecasting accuracy
  • Generating forecasts

Who should watch this webinar?

  • Anyone who is interested in using the data they have to forecast the future
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