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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Evolution of the signal that is neither stable nor cyclical in time series analysis.
Key Concepts: Fluctuation is a term used in SAP Predictive Analytics to describe the amount of change in a given data set. It is used to measure the variability of a data set over time. The fluctuation value is calculated by taking the difference between the highest and lowest values in the data set. How to use it: Fluctuation can be used to identify trends in data sets. It can be used to identify patterns in data sets, such as seasonality or cyclicality. It can also be used to identify outliers or anomalies in data sets. Tips & Tricks: When using fluctuation to identify trends, it is important to consider the context of the data set. For example, if the data set contains seasonal data, then the fluctuation value should be adjusted accordingly. Additionally, it is important to consider the size of the data set when calculating fluctuation values. Related Information: Fluctuation is closely related to other statistical measures such as variance and standard deviation. Additionally, it can be used in conjunction with other predictive analytics techniques such as regression analysis and time series analysis.