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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Sequence of data points, measured typically at successive times, spaced at often uniform time intervals.
Key Concepts: Time series is a type of data that is collected over a period of time. It is used to analyze trends and patterns in data over time. In SAP Predictive Analytics, time series is used to predict future values based on past values. How to use it: Time series can be used to identify trends and patterns in data over time. It can also be used to forecast future values based on past values. To use time series in SAP Predictive Analytics, you need to select the “Time Series” option from the “Data Type” drop-down menu. You then need to select the “Time Series” option from the “Data Type” drop-down menu and enter the start and end dates for the time series. Tips & Tricks: When using time series in SAP Predictive Analytics, it is important to ensure that the data is accurate and up-to-date. It is also important to consider any seasonal or cyclical patterns that may be present in the data. Additionally, it is important to consider any outliers or anomalies that may be present in the data. Related Information: For more information about using time series in SAP Predictive Analytics, please refer to the official SAP documentation here: https://help.sap.com/viewer/predictive-analytics/en-US/f9f3d7a8b2e14c8f9a7d6c3e2b5f4d1a.html