@inproceedings{M{\"o}hringKellerSchmidtetal.2022,
  author    = {M{\"o}hring, Michael and Keller, Barbara and Schmidt, Rainer and Sch{\"o}nitz, Fabian and Mohr, Frederik and Scheuerle, Max},
  title     = {Analytics in industry 4.0: investigating the challenges of unstructured data},
  booktitle = {Perspectives in business informatics research : 21st International Conference on Business Informatics Research, BIR 2022, Rostock, Germany, 21-23 September 2022, proceedings - ( Lecture notes in business information processing ; 462)},
  isbn      = {978-3-031-16947-2},
  issn      = {1865-1348},
  doi       = {10.1007/978-3-031-16947-2_8},
  institution = {Informatik},
  pages     = {113 -- 125},
  year      = {2022},
  abstract  = {Data analysis is becoming increasingly important to pursue organizational goals, especially in the context of Industry 4.0, where a wide variety of data is available. Here numerous challenges arise, especially when using unstructured data. However, this subject has not been focused by research so far. This research paper addresses this gap, which is interesting for science and practice as well. In a study three major challenges of using unstructured data has been identified: analytical know-how, data issues, variety. Additionally, measures how to improve the analysis of unstructured data in the industry 4.0 context are described. Therefore, the paper provides empirical insights about challenges and potential measures when analyzing unstructured data. The findings are presented in a framework, too. Hence, next steps of the research project and future research points become apparent.},
  language  = {en}
}