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Component: CEC-MKT-CAT
Component Name: Customer Attribution
Description: A calculation that creates averages of different subsets of the full data set.
Key Concepts: Moving average is a statistical method used to analyze data points by creating a series of averages of different subsets of the data. In SAP, moving average is used in the CEC-MKT-CAT Customer Attribution component to calculate the average value of a customer’s purchases over a period of time. How to use it: The moving average calculation in CEC-MKT-CAT Customer Attribution is used to identify trends in customer purchases and to determine the value of each customer. The calculation takes into account the number of purchases made by each customer over a given period of time and then calculates the average value of those purchases. This information can then be used to determine which customers are more valuable and should be targeted for marketing campaigns. Tips & Tricks: When using the moving average calculation in CEC-MKT-CAT Customer Attribution, it is important to consider the length of time that is being used for the calculation. A longer period of time will provide more accurate results, but may also lead to slower performance. It is also important to consider the type of data that is being used for the calculation, as different types of data may require different methods for calculating the moving average. Related Information: The moving average calculation in CEC-MKT-CAT Customer Attribution can be used in conjunction with other analytics tools such as predictive analytics and segmentation analysis to gain further insights into customer behavior and preferences. Additionally, this calculation can be used to identify customer segments that are more likely to respond positively to marketing campaigns.