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Analytics in industry 4.0: investigating the challenges of unstructured data

  • 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.

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Metadaten
Author of HS ReutlingenMöhring, Michael
DOI:https://doi.org/10.1007/978-3-031-16947-2_8
ISBN:978-3-031-16947-2
ISSN:1865-1348
eISSN:1865-1356
Erschienen in: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)
Publisher:Springer
Place of publication:Berlin
Document Type:Conference proceeding
Language:English
Publication year:2022
Tag:data analytics; data science; industry 4.0; information systems; unstructured data
Page Number:13
First Page:113
Last Page:125
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:004 Informatik
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt