BUS 520 M4C-RISK: EXPONENTIAL SMOOTHING FORECASTING AND VALUE OF INFORMATION

    BUS 520 M4C-RISK: EXPONENTIAL SMOOTHING FORECASTING AND VALUE OF INFORMATION

    RISK: EXPONENTIAL SMOOTHING FORECASTING AND VALUE OF INFORMATION
    Assignment Overview
    Scenario: You are still a consultant for the Excellent Consulting Group. You have completed the first assignment, developing and testing a forecasting method based on linear regression (Last assignment) However, your consulting manager at ECG wants to go the next step and investigate another forecasting method. It is important to do a thorough job for the client, and you have the expertise to analyze different forecasting methods. You have decided to look at the sales data for client’s lottery app as a single data set and use a time series analysis, namely SES, single exponential smoothing.
    Case Assignment
    Using Excel, use the forecasted sales from order 81626060 to compute the MAPE, by doing the following:
    1. Calculate the MAPE for the first 12 months (assume the forecast for Month 1 – or January – is equal to January’s actual sales). Use 0.15 and 0.90 alphas.
    2. Using the forecasted sales for Feb – April (taken from ORDER 81626060 Linear Regression exercise), compute the MAPE by comparing actual sales for each month, or Y(t) to forecasted sales, or F(t). Compare this 3-month MAPE to the two MAPE values you calculated in your SES analysis above. Use the following table:
    Month Sales, Y(t) Sales F(t) Y(t) – F(t) PE APE
    February ? ? ? ? ?
    March ? ? ? ? ?
    April ? ? ? ? ?
    ? ? ?
    ME MPE MAPE

    Then write a report to your boss that briefly describes the results that you obtained. Using MAPE values, make a recommendation on which method appears to be more accurate — SES or Linear Regression.
    Data: Use the data that you previously have generated from your analyses in Case 3.

    Assignment Expectations
    Analysis
    • Accurate and complete SES analysis in Excel.
    Written Report
    • Length requirements = 4–pages (not including Cover and Reference pages)
    • Provide a brief introduction/ background of the problem.
    • Complete and accurate Excel analysis.
    • Written analysis that supports Excel analysis, and provides thorough discussion of assumptions, rationale, and logic used.
    • Complete, meaningful, and accurate recommendation(s).
    PLEASE INCLUDE WORD AND EXCEL DOCUMENT
    Please include reference page

    Watch this video that shows how to do SES and calculate MAPE: https://permalink.fliqz.com/aspx/permalink.aspx?at=75d6cc75bbe742159e56ad8836531c1d&a=5fae3cf0f1624f39b0341263a6541ea0

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