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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3174
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dc.contributor.authorStockinger, Kurt-
dc.contributor.authorBraschler, Martin-
dc.contributor.authorStadelmann, Thilo-
dc.date.accessioned2019-07-04T12:28:53Z-
dc.date.available2019-07-04T12:28:53Z-
dc.date.issued2019-06-14-
dc.identifier.isbn978-3-030-11821-1de_CH
dc.identifier.isbn978-3-030-11820-4de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17424-
dc.description.abstractIn this chapter, we revisit the conclusions and lessons learned of the chapters presented in Part II of this book and analyze them systematically. The goal of the chapter is threefold: firstly, it serves as a directory to the individual chapters, allowing readers to identify which chapters to focus on when they are interested either in a certain stage of the knowledge discovery process or in a certain data science method or application area. Secondly, the chapter serves as a digested, systematic summary of data science lessons that are relevant for data science practitioners. And lastly, we reflect on the perceptions of a broader public towards the methods and tools that we covered in this book and dare to give an outlook towards the future developments that will be influenced by them.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofApplied data science : lessons learned for the data-driven businessde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectConclusionde_CH
dc.subjectData sciencede_CH
dc.subjectDigital transformationde_CH
dc.subjectArtificial intelligencede_CH
dc.subjectFuturede_CH
dc.subjectSocietyde_CH
dc.subjectBusinessde_CH
dc.subjectSummaryde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleLessons learned from challenging data science case studiesde_CH
dc.typeBuchbeitragde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-030-11821-1_24de_CH
dc.identifier.doi10.21256/zhaw-3174-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end465de_CH
zhaw.pages.start447de_CH
zhaw.parentwork.editorBraschler, Martin-
zhaw.parentwork.editorStadelmann, Thilo-
zhaw.parentwork.editorStockinger, Kurt-
zhaw.publication.statussubmittedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedDigital Health Labde_CH
zhaw.webfeedInformation Engineeringde_CH
zhaw.webfeedZHAW digitalde_CH
zhaw.webfeedMachine Perception and Cognitionde_CH
zhaw.funding.zhawComplexity 4.0de_CH
zhaw.funding.zhawPANOPTESde_CH
zhaw.funding.zhawDaCoMo - Data-Driven Condition Monitoringde_CH
zhaw.funding.zhawMarket Monitoringde_CH
zhaw.funding.zhawLarge Scale Data-Driven Financial Risk Modellingde_CH
zhaw.author.additionalNode_CH
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Stockinger, K., Braschler, M., & Stadelmann, T. (2019). Lessons learned from challenging data science case studies. In M. Braschler, T. Stadelmann, & K. Stockinger (Eds.), Applied data science : lessons learned for the data-driven business (pp. 447–465). Springer. https://doi.org/10.1007/978-3-030-11821-1_24
Stockinger, K., Braschler, M. and Stadelmann, T. (2019) ‘Lessons learned from challenging data science case studies’, in M. Braschler, T. Stadelmann, and K. Stockinger (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 447–465. Available at: https://doi.org/10.1007/978-3-030-11821-1_24.
K. Stockinger, M. Braschler, and T. Stadelmann, “Lessons learned from challenging data science case studies,” in Applied data science : lessons learned for the data-driven business, M. Braschler, T. Stadelmann, and K. Stockinger, Eds. Cham: Springer, 2019, pp. 447–465. doi: 10.1007/978-3-030-11821-1_24.
STOCKINGER, Kurt, Martin BRASCHLER und Thilo STADELMANN, 2019. Lessons learned from challenging data science case studies. In: Martin BRASCHLER, Thilo STADELMANN und Kurt STOCKINGER (Hrsg.), Applied data science : lessons learned for the data-driven business. Cham: Springer. S. 447–465. ISBN 978-3-030-11821-1
Stockinger, Kurt, Martin Braschler, and Thilo Stadelmann. 2019. “Lessons Learned from Challenging Data Science Case Studies.” In Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler, Thilo Stadelmann, and Kurt Stockinger, 447–65. Cham: Springer. https://doi.org/10.1007/978-3-030-11821-1_24.
Stockinger, Kurt, et al. “Lessons Learned from Challenging Data Science Case Studies.” Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler et al., Springer, 2019, pp. 447–65, https://doi.org/10.1007/978-3-030-11821-1_24.


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