Challenges to Data Science Projects with SMEs: An Analysis and Decision Support Tool
5 Pages Posted: 19 Mar 2019
Date Written: February 27, 2019
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
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