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.
A Manifesto for Applied Data Science - Reasoning from a Business Perspective
Di Marco A.;Proietti G.;Rossi F.;Stilo G.;
2022-01-01
Abstract
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.Pubblicazioni consigliate
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