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Opportunities and needs for logged usage data analytics of complex industrial systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

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Opportunities and needs for logged usage data analytics of complex industrial systems. / Väätäjä, Heli; Heimonen, Tomi; Tiitinen, Katariina; Hakulinen, Jaakko; Turunen, Markku; Nieminen, Harri; Paunonen, Hannu; Ruotsalainen, Jouni; Oksanen, Jaakko; Lindborg, Iiro.

24th European Conference on Information Systems, ECIS 2016. Association for Information Systems, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Harvard

Väätäjä, H, Heimonen, T, Tiitinen, K, Hakulinen, J, Turunen, M, Nieminen, H, Paunonen, H, Ruotsalainen, J, Oksanen, J & Lindborg, I 2016, Opportunities and needs for logged usage data analytics of complex industrial systems. in 24th European Conference on Information Systems, ECIS 2016. Association for Information Systems, European Conference on Information Systems, 1/01/00.

APA

Väätäjä, H., Heimonen, T., Tiitinen, K., Hakulinen, J., Turunen, M., Nieminen, H., ... Lindborg, I. (2016). Opportunities and needs for logged usage data analytics of complex industrial systems. In 24th European Conference on Information Systems, ECIS 2016 Association for Information Systems.

Vancouver

Väätäjä H, Heimonen T, Tiitinen K, Hakulinen J, Turunen M, Nieminen H et al. Opportunities and needs for logged usage data analytics of complex industrial systems. In 24th European Conference on Information Systems, ECIS 2016. Association for Information Systems. 2016

Author

Väätäjä, Heli ; Heimonen, Tomi ; Tiitinen, Katariina ; Hakulinen, Jaakko ; Turunen, Markku ; Nieminen, Harri ; Paunonen, Hannu ; Ruotsalainen, Jouni ; Oksanen, Jaakko ; Lindborg, Iiro. / Opportunities and needs for logged usage data analytics of complex industrial systems. 24th European Conference on Information Systems, ECIS 2016. Association for Information Systems, 2016.

Bibtex - Download

@inproceedings{cdc2ce8cb2c94e61938166688394ca1d,
title = "Opportunities and needs for logged usage data analytics of complex industrial systems",
abstract = "Industrial information systems record and store data about the status and use of the complex underlying production systems and processes. These data can be analyzed to improve existing, and innovate new products, processes, and services. This work focuses on a relatively unexplored area of industrial data analytics - understanding of end-user behaviors and their implications to the design, implementation, training and servicing of industrial systems. We report the initial findings from a requirements gathering workshop conducted with industry participants to identify the expected opportunities and goals with logged usage data and related needs to support the aims. Our key contributions include a characterization of the types of data that need to be collected and visualized, how these data can be used to understand product usage, description of the business purposes the information can be used for, and experience goals to guide the development of a novel usage data analytics tool. Interesting future research direction could include the privacy issues related to using logged usage data when limited number of users are logged.",
keywords = "Data analytics, Experience goals, Requirements elicitation, Software instrumentation, User behavior analysis, Visual analytics",
author = "Heli V{\"a}{\"a}t{\"a}j{\"a} and Tomi Heimonen and Katariina Tiitinen and Jaakko Hakulinen and Markku Turunen and Harri Nieminen and Hannu Paunonen and Jouni Ruotsalainen and Jaakko Oksanen and Iiro Lindborg",
year = "2016",
language = "English",
booktitle = "24th European Conference on Information Systems, ECIS 2016",
publisher = "Association for Information Systems",
address = "United States",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Opportunities and needs for logged usage data analytics of complex industrial systems

AU - Väätäjä, Heli

AU - Heimonen, Tomi

AU - Tiitinen, Katariina

AU - Hakulinen, Jaakko

AU - Turunen, Markku

AU - Nieminen, Harri

AU - Paunonen, Hannu

AU - Ruotsalainen, Jouni

AU - Oksanen, Jaakko

AU - Lindborg, Iiro

PY - 2016

Y1 - 2016

N2 - Industrial information systems record and store data about the status and use of the complex underlying production systems and processes. These data can be analyzed to improve existing, and innovate new products, processes, and services. This work focuses on a relatively unexplored area of industrial data analytics - understanding of end-user behaviors and their implications to the design, implementation, training and servicing of industrial systems. We report the initial findings from a requirements gathering workshop conducted with industry participants to identify the expected opportunities and goals with logged usage data and related needs to support the aims. Our key contributions include a characterization of the types of data that need to be collected and visualized, how these data can be used to understand product usage, description of the business purposes the information can be used for, and experience goals to guide the development of a novel usage data analytics tool. Interesting future research direction could include the privacy issues related to using logged usage data when limited number of users are logged.

AB - Industrial information systems record and store data about the status and use of the complex underlying production systems and processes. These data can be analyzed to improve existing, and innovate new products, processes, and services. This work focuses on a relatively unexplored area of industrial data analytics - understanding of end-user behaviors and their implications to the design, implementation, training and servicing of industrial systems. We report the initial findings from a requirements gathering workshop conducted with industry participants to identify the expected opportunities and goals with logged usage data and related needs to support the aims. Our key contributions include a characterization of the types of data that need to be collected and visualized, how these data can be used to understand product usage, description of the business purposes the information can be used for, and experience goals to guide the development of a novel usage data analytics tool. Interesting future research direction could include the privacy issues related to using logged usage data when limited number of users are logged.

KW - Data analytics

KW - Experience goals

KW - Requirements elicitation

KW - Software instrumentation

KW - User behavior analysis

KW - Visual analytics

M3 - Conference contribution

BT - 24th European Conference on Information Systems, ECIS 2016

PB - Association for Information Systems

ER -