{"id":2032,"date":"2026-04-02T17:53:03","date_gmt":"2026-04-02T15:53:03","guid":{"rendered":"https:\/\/dynamictools.io\/?post_type=glossar&p=2032"},"modified":"2026-04-02T17:53:04","modified_gmt":"2026-04-02T15:53:04","slug":"data-mapping","status":"publish","type":"glossar","link":"https:\/\/dynamictools.io\/en\/glossar\/daten-mapping\/","title":{"rendered":"Data Mapping"},"content":{"rendered":"

Data Mapping<\/strong> describes the process of translating and mapping internal data structures and fields to the specific formats and requirements of external systems or platforms. In the context of Product Information Management (PIM)<\/a> This specifically includes mapping internal PIM data fields to the requirements of individual output containers.<\/p>\n\n\n\n

Definition<\/h2>\n\n\n\n

The Data Mapping<\/strong> is a fundamental step in data management, where elements of one data set are mapped to another data set. The goal is to ensure compatibility and consistency between different data sources by precisely linking source and target attributes. This involves the identification, transformation, and validation of data to enable its correct transfer and interpretation.<\/p>\n\n\n\n

Purpose and Function<\/h2>\n\n\n\n

Individual Output Containers<\/h3>\n\n\n\n

An essential application area of Data Mapping<\/strong> is the filling individual output container<\/a>. This involves structuring and transforming the rich product data from a PIM system to meet the exact requirements of various external channels (e.g., online shops, marketplaces, print catalogs). This ensures that product information is displayed correctly for each specific platform.<\/p>\n\n\n\n