TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Möhring, Michael
A1  - Keller, Barbara
A1  - Schmidt, Rainer
A1  - Schönitz, Fabian
A1  - Mohr, Frederik
A1  - Scheuerle, Max
T1  - Analytics in industry 4.0: investigating the challenges of unstructured data
T2  - 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)
N2  - 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.
KW  - data science
KW  - information systems
KW  - data analytics
KW  - industry 4.0
KW  - unstructured data
Y1  - 2022
SN  - 1865-1348
SS  - 1865-1348
SN  - 978-3-031-16947-2
SB  - 978-3-031-16947-2
U6  - https://doi.org/10.1007/978-3-031-16947-2_8
DO  - https://doi.org/10.1007/978-3-031-16947-2_8
SP  - 113
EP  - 125
S1  - 13
PB  - Springer
CY  - Berlin
ER  -