---
res:
  bibo_abstract:
  - <jats:p>For foresightful strategic decisions in engineering and production, it
    is important to identify and classify operational engineering data inmanufacturing
    companies in terms of relevance and impact. Established methods like Scenario-Technique
    or roadmapping consider expertise of strategic decision-makers and central decision-making
    bodies by, for instance, workshops and interviews. There is no overarching approach
    for evaluating the variety of operational data sources and feed them into specific
    data processing pipelines targeting strategic decision support. Based on a systematic
    literature analysis and comprehensive industrial experience, requirements are
    derived. These requirements are used to develop a method to identify, classify
    and evaluate data for strategic decision-making. The method is validated in an
    industrial project. The aim is to exploit informal and fragmented data from operational
    levels into structured, transparent decision support for strategic players.</jats:p>@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Iris
      foaf_name: Gräßler, Iris
      foaf_surname: Gräßler
      foaf_workInfoHomepage: http://www.librecat.org/personId=47565
    orcid: 0000-0001-5765-971X
  - foaf_Person:
      foaf_givenName: Deniz
      foaf_name: Özcan, Deniz
      foaf_surname: Özcan
      foaf_workInfoHomepage: http://www.librecat.org/personId=58595
  bibo_doi: 10.54941/ahfe1008175
  bibo_volume: 237
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2771-0718
  dct_language: eng
  dct_publisher: AHFE International@
  dct_title: Extended Exploitation of Data in Manufacturing Companies for Strategic
    Decision-Making@
...