The unlikely wedlock between data science and entrepreneurship

Research output: Chapter in Book/Report/Conference proceedingChapterScientific


At first glance, data science and entrepreneurship are two seemingly unrelated fields of scientific research. In this introductory chapter of the book, we nonetheless try to bring together both disciplines, for which we introduce the concept of data entrepreneurship. We first discuss a number of well-known definitions of both data science and entrepreneurship, we disentangle them, and then we delineate striking differences and important similarities. We move on by discussing a number of prominent process models of both data science and entrepreneurship and again point at key differences and similarities in these typical processes. Both endeavors ultimately result in a conceptual framework that also forms the basis for the remainder of this book, which consists of sections on data engineering, data analytics, data entrepreneurship, and data and society, respectively.
Original languageEnglish
Title of host publicationData Science for Entrepreneurship
Subtitle of host publicationPrinciples and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society
EditorsWerner Liebregts, Willem-Jan van den Heuvel, Arjan van den Born
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Number of pages19
ISBN (Electronic)978-3-031-19554-9
ISBN (Print)978-3-031-19553-2
Publication statusPublished - 24 Mar 2023

Publication series

NameClassroom Companion: Business
PublisherSpringer Nature Switzerland AG
ISSN (Print)2662-2866
ISSN (Electronic)2662-2874


  • Data science
  • Entrepreneurship
  • Data entrepreneurship
  • Process models
  • Data entrepreneurship framework
  • Data engineering
  • Data analytics
  • Data an society


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