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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: A collection of data that is usually presented in tabular form. Each row represents an entity and each column represents a variable or feature of that entity. Datasets are used for training, validation, and scoring within the predictive lifecycle.
Key Concepts: A dataset is a collection of related data points that are organized into a structured format. In SAP Predictive Analytics, datasets are used to store and analyze data for predictive modeling. They can be created from existing data sources or imported from external sources. How to use it: Datasets can be created in SAP Predictive Analytics by selecting the “Create Dataset” option from the main menu. This will open a window where you can select the data source and specify the columns and rows to include in the dataset. Once the dataset is created, it can be used for predictive modeling. Tips & Tricks: When creating a dataset, it is important to ensure that all of the data points are relevant and accurate. This will help ensure that the predictive models created from the dataset are accurate and reliable. Additionally, it is important to keep the dataset up-to-date by regularly refreshing it with new data points. Related Information: For more information on datasets in SAP Predictive Analytics, please refer to the official documentation here: https://help.sap.com/viewer/product/SAP_PREDICTIVE_ANALYTICS/3.2/en-US/f9f8d7a7c9e14b6f8d3a5b2c9f1e4d6a.html