A Manifesto for Applied Data Science - Reasoning from a Business Perspective

Bahne Christiansen, Uwe Neuhaus, Michael Schulz, Adrian Hargreaves, Antinisca Di Marco, Guido Proietti, Fabrizio Rossi, Giovanni Stilo, Mark H. Haney, Andrew Duncan, Daniele Tessera, Tilman Todt, Andreas Brandenberg, Patricia Feubli

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Due to the increasing growth of the discipline Data Science, a partition into sub-disciplines
seems appropriate. Therefore, we propose the division of Data Science in Pure Data Science,
in which methods and tools are developed, and Applied Data Science, in which these methods
and tools are adapted and applied to practical problems of a specific domain. This article
focuses on Applied Data Science and how it should be positioned in relation to its adjoining
disciplines. We also introduce the term Business Data Science as a specific form of Applied
Data Science in the business domain and describe its relationship to existing terms like
Business Analytics and Business Intelligence.
Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Publication statusPublished - Sept 2022


  • Data Science
  • Applied Data Science
  • Pure Data Science
  • Business Data Science


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