Opportunities and needs for logged usage data analytics of complex industrial systems
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional
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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 proceeding › Conference contribution › Professional
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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 -