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May 03, 2024
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ITOM 6222 - Predictive Analysis and Forecasting
Credits: 2
From forecasting aggregate-level sales to predicting whether a customer will choose a particular product, analytic techniques are used by businesses to make rigorous, data-driven predictions. Students learn to distinguish between trend and seasonality and to utilize both for making forecasts in such areas as sales and operational planning. Explores analytic models such as deterministic time-trend, exponential smoothing, Holt-Winters, autoregressive exogenous, and Box-Jenkins. Covers how to use industry and government metrics and how to present results to management. Prerequisites: ITOM 6202 and MAST 6201 , or current enrollment in the M.S.B.A. program.
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