Faculty Publications
Data Science: Supporting Decision-Making
Document Type
Article
Keywords
Analytics, data science, data scientist, DSS, DSS design, rationality, targeted users
Journal/Book/Conference Title
Journal of Decision Systems
Volume
25
Issue
4
First Page
345
Last Page
356
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.
Original Publication Date
10-1-2016
DOI of published version
10.1080/12460125.2016.1171610
Repository
UNI ScholarWorks, Rod Library, University of Northern Iowa
Language
en
Recommended Citation
Power, Daniel J., "Data Science: Supporting Decision-Making" (2016). Faculty Publications. 1021.
https://scholarworks.uni.edu/facpub/1021