Question
What are the various ways a forecast can go wrong using historic data to predict future requirements, resources, or customer demands? What statistical methods are
What are the various ways a forecast can go wrong using historic data to predict future requirements, resources, or customer demands?
What statistical methods are used to "sense demand signals, shape demand, and forecast demand" ?
What time-series data is used to forecast future demand for products, services, or activities in your organization?
From experience, how accurate is the time-series data that is used to forecast and how accurate are the forecasts?
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1 Ways a forecast can go wrong using historic data Inadequate data Insufficient or incomplete historic data can lead to inaccurate forecasts Changing ...
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Intermediate Accounting
Authors: J. David Spiceland, James Sepe, Mark Nelson
6th edition
978-0077328894, 71313974, 9780077395810, 77328892, 9780071313971, 77395816, 978-0077400163
