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Erschienen in: Business & Information Systems Engineering 2/2017

09.02.2017 | Catchword

Quantified Vehicles

Novel Services for Vehicle Lifecycle Data

verfasst von: Dr. Alexander Stocker, Dipl.-Ing. Christian Kaiser, Prof. Dr. Michael Fellmann

Erschienen in: Business & Information Systems Engineering | Ausgabe 2/2017

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Excerpt

Three trends have shown significant impact in recent years: (1) The Internet of Things (Wortmann and Flüchter 2015) has become an enabler for a connected world full of smart objects equipped with sensors and supplies enormous and still rising amounts of (2) Big Data (Schönberger and Cukier 2013), which can be analyzed and then turned into business value in various areas, including (3) the Quantified Self movement as a popular example for everyday life big data analytics (Swan 2009). On a more abstract level, capturing real world events and digitizing them into machine-readable data to satisfy needs or assist humans and machines in decision making, evaluation and comparison of physical world events has become increasingly important. Even a new branch of business has emerged through such big data analytics for data-driven innovations, while information overload has wiped off its negative image and has become the beautiful bride everybody wants to dance with. Schönberger and Cukier’s ( 2013) pragmatic book on the capacity of big data to change the world has become an international bestseller and was referenced by researchers more than 1000 times according to Google Scholar. …
Fußnoten
1
AutoMat: Automotive Big Data Marketplace for Innovative Cross-sectorial Vehicle Data Services: http://​www.​automat-project.​eu (Accessed 15 Nov 2016).
 
2
The Controller Area Network (CAN) bus is an International Standardization Organization (ISO) defined serial communication protocol that supports distributed real-time control and multiplexing for use within road vehicles (ISO 11898-1:2003).
 
3
MyCar MyData: http://​mycarmydata.​eu (Accessed 15 Nov 2016).
 
4
Automotive and Web at W3C: http://​www.​w3.​org/​auto/​ (Accessed 15 Nov 2016).
 
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Metadaten
Titel
Quantified Vehicles
Novel Services for Vehicle Lifecycle Data
verfasst von
Dr. Alexander Stocker
Dipl.-Ing. Christian Kaiser
Prof. Dr. Michael Fellmann
Publikationsdatum
09.02.2017
Verlag
Springer Fachmedien Wiesbaden
Erschienen in
Business & Information Systems Engineering / Ausgabe 2/2017
Print ISSN: 2363-7005
Elektronische ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-017-0465-5

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