This improves the automation and efficiency of processes, as data can be interpreted and processed based on context. For example, in SAP systems, similar data from different areas can be semantically mapped using tags and used for more comprehensive analyses and reports.
Semantic tags in SAP are used to provide business data with additional information that clarifies its meaning (semantics). This allows specific data contexts and relationships to be better recognized and processed in SAP applications, which enhances process automation and efficiency.
Example: Semantic tags can be used in S/4HANA to label business objects (such as balance sheet and income statement items). Among other things, this labeling helps automatically recognize, correctly map, and display the tagged data in Fiori apps. Semantic tags therefore play an important role in supporting reports and analyses, in creating intelligent applications such as custom Fiori apps, and in integrating various modules, as they facilitate a consistent interpretation of data.

Semantic tags are metadata that can be linked to data objects in the SAP system, such as an item in a balance sheet or income statement structure. These tags clearly define what each item represents and how it relates to other data. As a result, semantic tags can represent a specific balance sheet or income statement item and help structure the analysis and reporting of financial information. To complete the example of the balance sheet or income statement structure, semantic tags could be linked to the income statement item “Revenue.”
In addition, semantic tags can be assigned to specific G/L accounts so that all G/L accounts belonging to “Sales Revenue” are assigned the same tag. In customer-specific reports or KPIs that analyze such line items or general ledger accounts, the system then automatically uses the linked tags without requiring manual adjustments to individual accounts. This ensures that all accounts are always included in the user-specific reports and KPIs.