What is predictive scenario in SAP LOD-ANA - SAP Analytics Cloud?

SAP Term: predictive scenario

• Component: LOD-ANA

• Component Name: SAP Analytics Cloud

• Description: A response to a business question requiring predictions. It is implemented in two ways in applications: In Smart Predict, it is a workspace where a user creates and compares predictive models to find the best one to solve the business question. In Predictive Analytics Integrator PAi, it is packaged as a predictive model, and embedded within an SAP Application to solve the business question.

Smart SAP Assistant

• Key Concepts:
  Predictive Scenario is a feature of SAP Analytics Cloud (SAC) that allows users to create predictive models and scenarios to forecast future outcomes. It uses machine learning algorithms to analyze data and generate predictions. Predictive Scenarios can be used to identify trends, predict customer behavior, and optimize business processes.
  
  How to use it:
  To use Predictive Scenarios in SAC, users must first upload their data into the system. Once the data is uploaded, users can create a predictive model by selecting the appropriate algorithm and parameters. After the model is created, users can then create scenarios based on the model’s predictions. These scenarios can be used to simulate different outcomes and identify potential opportunities or risks.
  
  Tips & Tricks:
  When creating a predictive model, it is important to select the appropriate algorithm for the data set. Different algorithms are better suited for different types of data sets, so it is important to select the one that best fits the data. Additionally, it is important to test different parameters and scenarios to ensure accuracy and reliability of the predictions.
  
  Related Information:
  SAP Analytics Cloud also offers other features such as Advanced Analytics, which allows users to explore their data using advanced analytics techniques such as clustering and forecasting. Additionally, SAC offers a variety of visualization tools that allow users to easily explore their data and gain insights from it.