What is dynamic prediction in SAP BW - SAP Business Information Warehouse?

SAP Term: dynamic prediction

• Component: BW

• Component Name: SAP Business Information Warehouse

• Description: A prediction of the runtime and the start of the next run. The term dynamic arises from the fact that the prediction learns continuously.

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• Key Concepts: 
  Dynamic prediction is a feature of SAP Business Information Warehouse (BW) that allows users to predict future trends and outcomes based on past data. It uses predictive analytics to analyze historical data and identify patterns that can be used to forecast future events. The predictions are based on a variety of factors, including seasonality, customer behavior, and market trends. 
  
  How to Use It: 
  Dynamic prediction can be used in a variety of ways. For example, it can be used to predict customer demand for products or services, forecast sales and revenue, or identify potential risks and opportunities. To use dynamic prediction in BW, users must first create a predictive model using the BW modeling tools. Once the model is created, users can then use the dynamic prediction feature to generate predictions based on the model. 
  
  Tips & Tricks: 
  When creating a predictive model for dynamic prediction in BW, it is important to ensure that the data used is accurate and up-to-date. Additionally, it is important to consider the context of the data when creating the model, as this will help ensure that the predictions are accurate and relevant. 
  
  Related Information: 
  Dynamic prediction is just one of many features available in SAP Business Information Warehouse (BW). Other features include data warehousing, reporting, analytics, and more. Additionally, there are many third-party tools available that can be used to enhance the capabilities of BW.