Data Analytics for Industrial Process Improvement - A Vision Paper

S. Thalmann; J. Mangler; T. Schreck; C. Huemer; M. Streit; F. Pauker; G. Weichhart; S. Schulte; C. Kittl; C. Pollak; M. Vukovic; G. Kappel; M. Gashi; S. Rinderle-Ma; J. Suschnigg; N. Jekic; S. Lindstaedt

doi:10.1109/CBI.2018.10051

Data Analytics for Industrial Process Improvement - A Vision Paper

S. Thalmann, J. Mangler, T. Schreck, C. Huemer, M. Streit, F. Pauker, G. Weichhart, S. Schulte, C. Kittl, C. Pollak, M. Vukovic, G. Kappel, M. Gashi, S. Rinderle-Ma, J. Suschnigg, N. Jekic, S. Lindstaedt

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	IEEE Conf. on Business Informatics, Workshop on Business Analytics in Practice and Applied Research
Pages	92-96
Number of pages	5
Volume	02
DOIs	https://doi.org/10.1109/CBI.2018.10051
Publication status	Published - 1 Jul 2018

Keywords

Production
Data analysis
Data visualization
Tools
Automation
Data models
Business
Data Analytics
Visual Analytics
Process Management
Industry 4.0

Fields of Expertise

Information, Communication & Computing

Access to Document

10.1109/CBI.2018.10051

Cite this

Thalmann, S., Mangler, J., Schreck, T., Huemer, C., Streit, M., Pauker, F., Weichhart, G., Schulte, S., Kittl, C., Pollak, C., Vukovic, M., Kappel, G., Gashi, M., Rinderle-Ma, S., Suschnigg, J., Jekic, N., & Lindstaedt, S. (2018). Data Analytics for Industrial Process Improvement - A Vision Paper. In IEEE Conf. on Business Informatics, Workshop on Business Analytics in Practice and Applied Research (Vol. 02, pp. 92-96) https://doi.org/10.1109/CBI.2018.10051

Thalmann, S, Mangler, J, Schreck, T, Huemer, C, Streit, M, Pauker, F, Weichhart, G, Schulte, S, Kittl, C, Pollak, C, Vukovic, M, Kappel, G, Gashi, M, Rinderle-Ma, S, Suschnigg, J, Jekic, N & Lindstaedt, S 2018, Data Analytics for Industrial Process Improvement - A Vision Paper. in IEEE Conf. on Business Informatics, Workshop on Business Analytics in Practice and Applied Research. vol. 02, pp. 92-96. https://doi.org/10.1109/CBI.2018.10051

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author = "S. Thalmann and J. Mangler and T. Schreck and C. Huemer and M. Streit and F. Pauker and G. Weichhart and S. Schulte and C. Kittl and C. Pollak and M. Vukovic and G. Kappel and M. Gashi and S. Rinderle-Ma and J. Suschnigg and N. Jekic and S. Lindstaedt",

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AU - Thalmann, S.

AU - Mangler, J.

AU - Schreck, T.

AU - Huemer, C.

AU - Streit, M.

AU - Pauker, F.

AU - Weichhart, G.

AU - Schulte, S.

AU - Kittl, C.

AU - Pollak, C.

AU - Vukovic, M.

AU - Kappel, G.

AU - Gashi, M.

AU - Rinderle-Ma, S.

AU - Suschnigg, J.

AU - Jekic, N.

AU - Lindstaedt, S.

PY - 2018/7/1

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KW - Production

KW - Data analysis

KW - Data visualization

KW - Tools

KW - Automation

KW - Data models

KW - Business

KW - Data Analytics

KW - Visual Analytics

KW - Process Management

KW - Industry 4.0

U2 - 10.1109/CBI.2018.10051

DO - 10.1109/CBI.2018.10051

M3 - Conference paper

VL - 02

SP - 92

EP - 96

BT - IEEE Conf. on Business Informatics, Workshop on Business Analytics in Practice and Applied Research

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