Data analytics in action

Gerard Schouten; Giuseppe Arena; Frederique van Leeuwen; Petra Heck; Joris Mulder; Rick Aalbers; Roger Leenders; Florian Böing-Messing

doi:10.1007/978-3-031-19554-9_10

Data analytics in action

Gerard Schouten, Giuseppe Arena, Frederique van Leeuwen, Petra Heck, Joris Mulder, Rick Aalbers, Roger Leenders, Florian Böing-Messing

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

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Abstract

The previous chapters provided gentle introductions to various important topics in the area of data analytics. In this chapter, we present three real-life case studies that illustrate how the methods and approaches outlined in the previous chapters can be put into practice. The first case study shows how the Dutch company BagsID uses data analytics to improve the efficiency of luggage handling at airports. The second case study analyzes email communication between employees of a multinational service company to assess the efficacy of interventions aimed at stimulating the employees’ openness to innovation. The third case study considers how vehicle sensor data can be leveraged for Pay-How-You-Drive insurance policies. Together, the three case studies give a glimpse into the vast world of applied data analytics.

Original language	English
Title of host publication	Data science for entrepreneurship
Subtitle of host publication	Principles and methods for data engineering, analytics, entrepreneurship, and the society
Editors	W. Liebregts, W.-J. van den Heuvel, A. van den Born
Publisher	Springer
Pages	205-233
ISBN (Electronic)	978-3-031-19554-9
ISBN (Print)	978-3-031-19553-2
DOIs	https://doi.org/10.1007/978-3-031-19554-9_10
Publication status	Published - 2023

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MTO Arena data analytics in action 2023 ChapterAccepted author manuscript, 1.12 MB

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Schouten, G., Arena, G., Leeuwen, F. V., Heck, P., Mulder, J., Aalbers, R., Leenders, R., & Böing-Messing, F. (2023). Data analytics in action. In W. Liebregts, W.-J. van den Heuvel, & A. van den Born (Eds.), Data science for entrepreneurship: Principles and methods for data engineering, analytics, entrepreneurship, and the society (pp. 205-233). Springer. https://doi.org/10.1007/978-3-031-19554-9_10

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abstract = "The previous chapters provided gentle introductions to various important topics in the area of data analytics. In this chapter, we present three real-life case studies that illustrate how the methods and approaches outlined in the previous chapters can be put into practice. The first case study shows how the Dutch company BagsID uses data analytics to improve the efficiency of luggage handling at airports. The second case study analyzes email communication between employees of a multinational service company to assess the efficacy of interventions aimed at stimulating the employees{\textquoteright} openness to innovation. The third case study considers how vehicle sensor data can be leveraged for Pay-How-You-Drive insurance policies. Together, the three case studies give a glimpse into the vast world of applied data analytics.",

author = "Gerard Schouten and Giuseppe Arena and Leeuwen, {Frederique van} and Petra Heck and Joris Mulder and Rick Aalbers and Roger Leenders and Florian B{\"o}ing-Messing",

year = "2023",

doi = "10.1007/978-3-031-19554-9_10",

language = "English",

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Schouten, G, Arena, G, Leeuwen, FV, Heck, P , Mulder, J, Aalbers, R, Leenders, R & Böing-Messing, F 2023, Data analytics in action. in W Liebregts, W-J van den Heuvel & A van den Born (eds), Data science for entrepreneurship: Principles and methods for data engineering, analytics, entrepreneurship, and the society. Springer, pp. 205-233. https://doi.org/10.1007/978-3-031-19554-9_10

Data analytics in action. / Schouten, Gerard; Arena, Giuseppe; Leeuwen, Frederique van et al.
Data science for entrepreneurship: Principles and methods for data engineering, analytics, entrepreneurship, and the society. ed. / W. Liebregts; W.-J. van den Heuvel; A. van den Born. Springer, 2023. p. 205-233.

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

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ER -

Data analytics in action

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