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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: A combination of the source of data, such as relational database, flat-file database, or text file, and the connection information necessary for accessing the data.
Key Concepts: A data source is a collection of data that is used as the basis for analysis. In SAP Predictive Analytics, a data source is a set of data that is used to create models and generate insights. It can be either structured or unstructured, and can come from a variety of sources such as databases, spreadsheets, text files, or web services. How to use it: Data sources can be used to create predictive models in SAP Predictive Analytics. To do this, the data must first be imported into the software. This can be done by connecting to an existing database or by uploading a file. Once the data is imported, it can be used to create models and generate insights. Tips & Tricks: When creating a data source, it is important to ensure that the data is clean and accurate. This means that any missing or incorrect values should be removed or corrected before the data is imported into SAP Predictive Analytics. Additionally, it is important to ensure that the data is formatted correctly so that it can be easily analyzed. Related Information: For more information on creating and using data sources in SAP Predictive Analytics, please refer to the official documentation here: https://help.sap.com/viewer/predictive-analytics/en-US/f9f3d7a8b2e14c8f9a7d6c3e2b5f9a1d.html