Why Data Analytics is an Art

Author:

Charles Vincent1,Emrouznejad Ali2,Gherman Tatiana3,Cochran James4

Affiliation:

1. Associate professor of AI for business and director of postgraduate research studies at the School of Management, University of Bradford, UK. He supports companies to enhance productivity via predictive, prescriptive, and cognitive analytics

2. Professor and chair in business analytics and the director of the Centre for Business Analytics in Practice at Surrey Business School, University of Surrey, UK. He is an expert in performance measurement and management, efficiency, productivity analysis, data mining, and big data

3. Senior lecturer at the University of Northampton, UK. Her areas of expertise include AI/ML, data science, and behavioural operational research. She was a recipient of the 2019 GDN INFORMS/Springer Researcher Award

4. Associate dean for research with the University of Alabama's Culverhouse College. He is also professor of statistics and the Rogers-Spivey Research Fellow

Abstract

AbstractData analytics projects can be like throwing darts in the dark. Problem-centric thinking is vital, argue Vincent Charles, Ali Emrouznejad, Tatiana Gherman, and James Cochran

Publisher

Oxford University Press (OUP)

Subject

Statistics and Probability

Reference8 articles.

1. A unified foundation for business analytics;Holsapple;Decision Support Systems,2014

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