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Component: MFG-DM-MI-PQM
Component Name: Predictive Quality Management
Description: A process in descriptive analysis in which the system creates segments based on the Key Performance Indicator KPI or characteristic value. Each segment represents a set of production orders or production units that belong to the specified range of KPI or characteristic value.
Key Concepts: Segmentation is a process used in Predictive Quality Management (PQM) of SAP Manufacturing Data Management (MFG-DM-MI). It involves dividing a large dataset into smaller, more manageable parts. This allows for more efficient analysis and better understanding of the data. How to use it: Segmentation can be used to identify patterns and trends in data. It can also be used to identify outliers or anomalies in the data. Segmentation can be done manually or with the help of software tools. Tips & Tricks: When segmenting data, it is important to consider the size of the dataset and the type of analysis that needs to be done. It is also important to consider the number of segments that need to be created and how they should be divided. Related Information: Segmentation is closely related to clustering, which is another process used in PQM. Clustering involves grouping similar data points together into clusters. This can help identify patterns and trends in the data that may not be visible when looking at the entire dataset.