Extending Global Causal Factor Data in Oracle Supply Chain Planning Cloud. (Doc ID 2825492.1)

Last updated on MAY 18, 2023

Applies to:

Purpose

Extending Global Causal Factor Data in Oracle Supply Chain Planning Cloud.

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Scope

The Demand Management, Sales and Operations Planning, Replenishment Planning, and Planning Central applications in the Oracle Supply Chain Planning Cloud suite utilize global causal factors in the demand forecasting process to determine the impact on demand resulting from seasonality and holidays as well as to identify trends. The data for these global causal factors are stored in measures. There are measures for each calendar month, each holiday, and a trend measure. Since these represent global factors that do not vary by product, organization or customer, these measures are only dimensioned by time.

Data for these global causal factor measures has been preloaded through the end of calendar year 2022. If your forecast horizon extends beyond 2022, then the forecasting process will result in a warning and a forecast will only be generated through the end of 2022. The message will be available in Review Plan Messages and will state “Global causal data is missing some or all required information”.

Details

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