Prescriptive analytics: A game changer for business
Publication Type
Journal Article
Publication Date
10-2017
Abstract
As the data analytics space continues to grow and evolve, prescriptive analytics is expected to reach the highest growth and adoption rate in business when compared to descriptive and predictive analytics. Prescriptive analytics not only offers strategies for handling critical decisions but also suggests optimal solutions to achieve business objectives. The foresight offered by prescriptive analytics enables organizations to make major decisions in a short time period with greater accuracy. This article highlights the need for, and importance of, utilizing prescriptive analytics in business processes. We begin by outlining descriptive, predictive, and prescriptive analytics in general and follow that discussion with the strategies, technologies, and techniques to enhance prescriptive analytics in business. We also discuss the risks and challenges of implementing prescriptive analytics in the context of machine learning.
Discipline
Databases and Information Systems
Research Areas
Information Systems and Management
Publication
Cutter Business Technology Journal
Volume
30
Issue
10/11
First Page
11
Last Page
17
ISSN
2475-3718
Citation
RAVINDRAN, S. and NAH, Fiona Fui-hoon.
Prescriptive analytics: A game changer for business. (2017). Cutter Business Technology Journal. 30, (10/11), 11-17.
Available at: https://ink.library.smu.edu.sg/sis_research/9555