{"title":"Volvo Single View of Vehicle: Building a Big Data Service from Scratch in the Automotive Industry","authors":"Paweł W. Woźniak, R. Valton, M. Fjeld","doi":"10.1145/2702613.2702972","DOIUrl":null,"url":null,"abstract":"Big data analytics is a major trend affecting business today. Many organizations collect vast amounts of data simply to investigate if its market value can be identified. In this case study, we contribute a practical example of using the big data approach to create innovative services. We describe our work to identify and integrate data sources in order establish what data is available and who may benefit from it. We then show how we worked with users to communicate the vast possibilities created when many data sources are integrated, and participated in building a new big data service. Finally, we share a set of lessons we learned which can guide future big data inquiries. Our work was conducted in the context of the inspection, service, and sale of Volvo trucks, significantly aiding risk management for Volvo Used Trucks EMEA.","PeriodicalId":142786,"journal":{"name":"Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2702613.2702972","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Big data analytics is a major trend affecting business today. Many organizations collect vast amounts of data simply to investigate if its market value can be identified. In this case study, we contribute a practical example of using the big data approach to create innovative services. We describe our work to identify and integrate data sources in order establish what data is available and who may benefit from it. We then show how we worked with users to communicate the vast possibilities created when many data sources are integrated, and participated in building a new big data service. Finally, we share a set of lessons we learned which can guide future big data inquiries. Our work was conducted in the context of the inspection, service, and sale of Volvo trucks, significantly aiding risk management for Volvo Used Trucks EMEA.