This document gives the step by step procedure to use R-Single Exponential Smoothing Algorithm in SAP Predictive Analysis.
R-Single Exponential Smoothing:
The R-Single Exponential Smoothing algorithm enables you to smooth the source data by reducing noise and performing prediction for the time series data by using R library functions. Time series data is a sequence of observations over a period of time.
Let us walk through a simple example to work on the R-Single Exponential Smoothing
Step 1: The below Excel file have the OrderID and Sales Amount
Note:
When you use a time series model for analysis, the model does not consider data from the selected data source. Instead, it forecasts by considering data that was used while generating a model.
Step 2: Open the Predictive Analysis Tool.
Step 3: Go to FILE-> NEW-> Select the Data Source (here in this case select Excel)
Switch to “Predict” tab to set up the forecasting.
You can create a model by saving the state of a trained algorithm.
In the analysis editor, right-click the algorithm component and choose Properties
In the properties view, perform the following steps:
To view the results click the Results and view them in Grid mode
Then Visualize your results using “Visualize” Tab
Hope it helps to use R-Single Exponential Smoothing Algorithm in SAP Predictive Analysis.
Thanks,
Shivani.Yemula
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