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Publication type: Book part
Type of review: Editorial review
Title: Lessons learned from challenging data science case studies
Authors: Stockinger, Kurt
Braschler, Martin
Stadelmann, Thilo
et. al: No
DOI: 10.21256/zhaw-3174
Published in: Applied data science : lessons learned for the data-driven business
Editors of the parent work: Braschler, Martin
Stadelmann, Thilo
Stockinger, Kurt
Page(s): 447
Pages to: 465
Issue Date: 14-Jun-2019
Publisher / Ed. Institution: Springer
Publisher / Ed. Institution: Cham
ISBN: 978-3-030-11821-1
Language: English
Subjects: Conclusion; Data science; Digital transformation; Artificial intelligence; Future; Society; Business; Summary
Subject (DDC): 005: Computer programming, programs and data
Abstract: In 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.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Published as part of the ZHAW project: Complexity 4.0
DaCoMo - Data-Driven Condition Monitoring
Market Monitoring
Large Scale Data-Driven Financial Risk Modelling
Appears in collections:Publikationen School of Engineering

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