Model and experimental development for Business Data Science

Russell Newman, Victor Chang, Robert John Walters and Gary Brian Wills

International Journal of Information Management, 2016, vol. 36, issue 4, 607-617

Abstract: While Data Science has become increasingly significant for business strategies, operations, performance, efficiency and prediction, there is little work on this to provide a detailed guideline. We have proposed a Business Data Science (BDS) model that focuses on the model and experimental development that allows different types of functions, processes and roles to work together collaboratively for efficiency and performance improvements. Details with examples have been illustrated to show that BDS model can be a robust model. Future directions have been discussed to ensure that business intelligence, security, analytics and research contributions to BDS can be achieved.

Keywords: Business Data Science (BDS); Modelling and experimental techniques for BDS; Future directions and contributions for Data Science (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:36:y:2016:i:4:p:607-617

DOI: 10.1016/j.ijinfomgt.2016.04.004

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