What is data preparation in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: data preparation

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Components used to prepare data before processing it. These components can be used for checking data for accuracy and missing fields, merging data from different sources, filtering data based on range values, binning data, and sampling a subset of data from large datasets.

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• Key Concepts: 
  Data preparation is the process of transforming raw data into a format that is suitable for analysis. It is an important step in the predictive analytics process, as it ensures that the data is clean and ready for analysis. In SAP Predictive Analytics, data preparation involves cleaning, transforming, and enriching the data to make it more useful for analysis. 
  
  How to use it: 
  Data preparation in SAP Predictive Analytics can be done using the Data Preparation tool. This tool allows users to clean, transform, and enrich their data in order to make it more useful for analysis. The Data Preparation tool also allows users to create custom transformations and apply them to their data. 
  
  Tips & Tricks: 
  When preparing data for analysis, it is important to ensure that the data is clean and accurate. This can be done by checking for any errors or inconsistencies in the data and correcting them before proceeding with the analysis. Additionally, it is important to ensure that all relevant variables are included in the dataset so that they can be used in the analysis. 
  
  Related Information: 
  Data preparation is an important step in the predictive analytics process, as it ensures that the data is clean and ready for analysis. Additionally, it is important to understand how different types of data can be transformed and enriched in order to make them more useful for analysis. For more information on data preparation in SAP Predictive Analytics, please refer to the official documentation.