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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Value that is not measured, not answered, unknown, or is lost.
Key Concepts: A missing value is a data point that is not available in a dataset. In SAP Predictive Analytics, missing values are represented by a blank or null value. Missing values can occur when data is not collected, or when data is not entered correctly. How to use it: When working with datasets in SAP Predictive Analytics, it is important to identify and handle missing values. This can be done by using the “Missing Value Analysis” tool, which allows you to identify and replace missing values with a suitable value. Tips & Tricks: When dealing with missing values, it is important to consider the context of the data. For example, if the data is related to customer satisfaction, then it may be appropriate to replace the missing value with a neutral value such as “3”. Related Information: For more information on how to handle missing values in SAP Predictive Analytics, please refer to the official documentation here: https://help.sap.com/viewer/predictive-analytics/3.2/en-US/f9f8d7a7c9e04d6f8b2b5a4d7c9f8e1a.html