Challenges to Data Science Projects with SMEs: An Analysis and Decision Support Tool

5 Pages Posted: 19 Mar 2019

See all articles by Daan Kolkman

Daan Kolkman

Eindhoven University of Technology (TUE)

Ruud Sneep

Eindhoven University of Technology (TUE)

Date Written: February 27, 2019

Abstract

Data science has quickly developed as an academic field and has sparked the imagination of public and private sector alike. While considerable effort is devoted towards the technical development of statistical approaches for analysing the wealth of available data, our understanding of data science in practical contexts has lagged behind. In this paper we build on 40 applied data science projects that were conducted with small to medium enterprises (SME's) in the Netherlands to identify common pitfalls and challenges. This analysis informs the development of a "data science project canvas"; a tool that helps people with a non-technical background to define a data science project.

Keywords: Entrepreneurship, data science, decision support

Suggested Citation

Kolkman, Daniel Antony and Sneep, Ruud, Challenges to Data Science Projects with SMEs: An Analysis and Decision Support Tool (February 27, 2019). Available at SSRN: https://ssrn.com/abstract=3343092 or http://dx.doi.org/10.2139/ssrn.3343092

Daniel Antony Kolkman (Contact Author)

Eindhoven University of Technology (TUE) ( email )

PO Box 513
Den Dolech 2
Eindhoven, 5600 MB
Netherlands

Ruud Sneep

Eindhoven University of Technology (TUE) ( email )

PO Box 513
Eindhoven, 5600 MB
Netherlands

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