Data science and big data analytics in financial services: a case study

Behari, Suren and Cater-Steel, Aileen and Soar, Jeffrey (2016) Data science and big data analytics in financial services: a case study. In: Handbook of research on driving competitive advantage through sustainable, lean, and disruptive innovation. Advances in Business Strategy. Business Science Reference (IGI Global), Hershey, PA, united States, pp. 396-423. ISBN 9781522501350

Abstract

The chapter discusses how Financial Services organizations can take advantage of Big Data analysis for disruptive innovation through examination of a case study in the financial services industry. Popular tools for Big Data Analysis are discussed and the challenges of big data are explored as well as how these challenges can be met. The work of Hayes-Roth in Valued Information at the Right Time (VIRT) and how it applies to the case study is examined. Boyd’s model of observe, orient, decide and act (OODA) is explained in relation to disruptive innovation in financial services. Future trends in big data analysis in the financial services domain are explored.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to chapter, in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 09 May 2017 04:23
Last Modified: 27 Sep 2017 04:05
Uncontrolled Keywords: big data analysis, financial services
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080604 Database Management
Socio-Economic Objective: B Economic Development > 90 Commercial Services and Tourism > 9001 Financial Services > 900101 Finance Services
Identification Number or DOI: 10.4018/978-1-5225-0135-0.ch017
URI: http://eprints.usq.edu.au/id/eprint/31291

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