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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Tabular representation of data made of lines and columns. Each line represents an “observation”. Roles can be assigned to columns such as “Input”, “skip”, “target” or “weight”.
Key Concepts: An analytical data set is a type of data set used in SAP Predictive Analytics. It is a collection of data that has been pre-processed and organized for analysis. It contains all the necessary information needed to perform predictive analytics, such as the data points, variables, and relationships between them. How to use it: Analytical data sets can be used to create predictive models that can be used to make predictions about future events or trends. They can also be used to identify patterns in the data and uncover insights that can be used to make better decisions. Tips & Tricks: When creating an analytical data set, it is important to ensure that the data is clean and organized. This will help ensure that the predictive models created are accurate and reliable. Additionally, it is important to consider the size of the data set when creating an analytical data set, as larger datasets may require more processing power and time. Related Information: SAP Predictive Analytics also offers other types of data sets such as transactional and operational data sets. These types of data sets are used for different purposes than analytical data sets and should be considered when creating predictive models. Additionally, SAP Predictive Analytics also offers a variety of tools and techniques for analyzing and interpreting the data in an analytical data set.