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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Period of time between one event and another.
Key Concepts: Lag is a term used in SAP Predictive Analytics to refer to the amount of time between two events. It is used to measure the time difference between two related events, such as the time between a customer's purchase and their next purchase. How to use it: In SAP Predictive Analytics, lag can be used to measure the time difference between two related events. This can be used to identify patterns in customer behavior, such as how long it takes for a customer to make a repeat purchase. It can also be used to identify trends in customer behavior over time. Tips & Tricks: When using lag in SAP Predictive Analytics, it is important to consider the context of the data being analyzed. For example, if you are analyzing customer purchases, you may want to consider the seasonality of the data when calculating lag. Related Information: Lag is closely related to other terms such as lead and cycle time. Lead is the amount of time between an event and its subsequent event, while cycle time is the amount of time between an event and its next occurrence. These terms can be used together to gain a better understanding of customer behavior.