Data science: supporting decision-making. Issue 4 (1st October 2016)

• Record Type: Journal Article
• Authors: Power, Daniel J.
• Is Part Of: Journal of decision systems. Volume 25:Issue 4(2016)
• Page Start: 345
• Page End: 356
• Publication Date: 2016-10-01
• Subjects: Analytics -- data science -- data scientist -- DSS -- rationality -- targeted users -- DSS design; Decision support systems -- Periodicals; Management information systems -- Periodicals; Information resources management -- Periodicals; Information storage and retrieval systems -- Periodicals; Management -- Communication systems -- Periodicals; Decision support systems; Information resources management; Information storage and retrieval systems; Management -- Communication systems; Management information systems; Periodicals; 658.40305
• DOI: 10.1080/12460125.2016.1171610
• Languages: English
• ISSNs: 1246-0125

Abstract

Abstract: Data science is a new academic trans-discipline that builds on 60 years of research about supporting decision-making in organisations. It is an important and potentially significant concept and practice. Contemplating the need for data scientists encourages academics and managers to examine issues of decision-maker rationality, data and data analysis needs, analytical tools, job skills and academic preparation. This article explores data science and the data professionals who will use new data streams and analytics to support decision-making. It also examines the dimensions that are changing in the data stream and the skills needed by data scientists to analyse the new data streams. Organisations need data scientists, but academics need to understand the new data science jobs to prepare more people to support decision-making.