Digitizing company analytics : digitalization concept for valuable insights |
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Author: | Härkönen, J.1; Mustonen, E.1; Koskinen, J.1; |
Organizations: |
1Industrial Engineering and Management, University of Oulu, Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202101262674 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2020
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Publish Date: | 2021-01-26 |
Description: |
AbstractDigitalizing business analytics by generating relevant information from data to gain valuable insights and to enhance decision-making is a key ability for companies. We describe a potential concept for digitizing company analytics to enable data-driven approach by providing a path from information needs to visualizing the analysis results, including the consideration of analysis logic, relevant data, and necessary data model. Company business processes, IT applications, and data assets provide the foundations to build upon. The developed concept may enable practitioners to consider possible applications and the needed, already existing technologies. see all
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ISBN: | 978-1-5386-7220-4 |
ISBN Print: | 978-1-5386-7221-1 |
Pages: | 1012 - 1016 |
DOI: | 10.1109/IEEM45057.2020.9309799 |
OADOI: | https://oadoi.org/10.1109/IEEM45057.2020.9309799 |
Host publication: |
2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
Conference: |
IEEE International Conference on Industrial Engineering and Engineering Management |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
222 Other engineering and technologies |
Subjects: | |
Copyright information: |
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