Cluster Mapping

The term cluster mapping refers to a cross-classification allocation system that provides structured mappings between the most important international industry classifications for a significant number of listed companies. Parallel classifications according to common standards such as GICS, ICB, NAICS and SIC are available for each company recorded; further taxonomies can be added depending on data availability.

This mapping makes it possible to present information about a company consistently across contexts - regardless of which classification system is used in a specific analysis, data or usage context. Differences between the systems are not leveled out, but rather transparently juxtaposed.

In addition to the established benchmarks, a proprietary Themefolio segmentation is also incorporated. This assigns companies to thematic contexts that cannot be derived solely from formal industry affiliations, but also take into account operational focuses, technological intersections or structural similarities.

A practical example of this is the Termsheet on Apple shares, in which the parallel classifications and thematic categorization are presented in a bundled form. This creates a multidimensional company profile that reflects both classic sector logic and thematic perspectives.