Characterization of the German metalworking industry using data mining methods

Aim

Many research questions require (statistical) knowledge of manufacturing. Available data is often not collected at the level of German states, or many sub-sectors are grouped in such a way that the question at hand cannot be answered directly. For these reasons, project work often requires the complementation of the statistical data sources by other data sources, e.g., interviews or ad-hoc surveys. In general, the latter are costly and/or do not provide an overall picture of the analyzed aspects of the industry. This subproject aims to explore data-driven methods to enrich statistical data on manufacturing using the German non-ferrous metalworking sector as a test case.

Research questions

  • How is the German non-ferrous metalworking industry distributed across federal states? Are there (specialized) centers?
  • How many companies work on the different non-ferrous metals?
  • To what extent are companies product-specialized or material-specialized?
  • How important are supply-chain transparency, sustainability, corporate social responsibility, etc. to the firms and their presentation to their customers?
  • Can the questions above be reasonably answered by the data? Can they be answered also at the level of federal States?
© Luis Tercero Espinoza / Mahendra Singh
Project workflow: combining structured and unstructured data