ISE Forecasting and Predictive Analytics with Forecast X (TM)

Software company producing Forecast X, which will accompany this edition of BUSINESS FORECASTING.

• Chapter 1: Introduction to Business Forecasting and Predictive Analytics   Chapter 2:The Forecast Process, Data Considerations, and Model Selection  Chapter 3:Extrapolation 1. Moving Averages and Exponential Smoothing   Chapter 4:Extrapolation 2. Introduction to Forecasting with Regression Trend Models   Chapter 5:Explanatory Models 1. Forecasting with Multiple Regression Causal Models  Chapter 6:Explanatory Models 2. Time-Series Decomposition    Chapter 7:Explanatory Models 3. ARIMA (Box-Jenkins) Forecasting Models   Chapter 8:Predictive Analytics: Helping to Make Sense of Big Data   Chapter 9:Classification Models: The Most Used Models in Analytics Chapter 10:Ensemble Models and Clustering  Chapter 11:Text Mining Chapter 12:Forecast/Analytics Implementation