What is analytical data set in SAP MFG-DM-MI-PQM - Predictive Quality Management?

SAP Term: analytical data set

• Component: MFG-DM-MI-PQM

• Component Name: Predictive Quality Management

• Description: A data set created by users. The analytical data set is used to analyze the influence on the final manufacturing improvement objective by adding multiple material characteristics and process parameters. Analytical data set is used to create a predictive model.

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• Key Concepts: 
  An analytical data set is a type of data set used in SAP Predictive Quality Management (PQM). It is a collection of data points that are used to analyze and predict the quality of products. The data points can include measurements, characteristics, and other relevant information about the product. 
  
  How to use it: 
  Analytical data sets are used to analyze and predict the quality of products. The data points in the set can be used to identify trends, patterns, and correlations between different factors that affect product quality. This information can then be used to make decisions about how to improve product quality. 
  
  Tips & Tricks: 
  When creating an analytical data set, it is important to ensure that all relevant data points are included. This will help ensure that the analysis is accurate and complete. Additionally, it is important to keep the data up-to-date so that the analysis remains relevant. 
  
  Related Information: 
  SAP Predictive Quality Management (PQM) is a tool that helps organizations manage product quality by providing predictive analytics and insights. It uses analytical data sets to analyze and predict product quality. Additionally, PQM provides tools for monitoring product quality over time and for identifying potential areas of improvement.