Model and experimental development for Business Data Science

Russell Newman; Victor Chang; Robert John Walters; Gary Brian Wills

doi:10.1016/j.ijinfomgt.2016.04.004

Model and experimental development for Business Data Science

Russell Newman^*
, Victor Chang
, Robert John Walters
, Gary Brian Wills

^*Corresponding author for this work

International Business School Suzhou

University of Southampton
University of Southampton

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

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.

Original language	English
Pages (from-to)	607-617
Number of pages	11
Journal	International Journal of Information Management
Volume	36
Issue number	4
DOIs	https://doi.org/10.1016/j.ijinfomgt.2016.04.004
Publication status	Published - 1 Aug 2016

Keywords

Business Data Science (BDS)
Future directions and contributions for Data Science
Modelling and experimental techniques for BDS

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10.1016/j.ijinfomgt.2016.04.004

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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), Future directions and contributions for Data Science, Modelling and experimental techniques for BDS",

author = "Russell Newman and Victor Chang and Walters, \{Robert John\} and Wills, \{Gary Brian\}",

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AU - Walters, Robert John

AU - Wills, Gary Brian

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AB - 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.

KW - Business Data Science (BDS)

KW - Future directions and contributions for Data Science

KW - Modelling and experimental techniques for BDS

UR - https://www.scopus.com/pages/publications/84962656193

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JO - International Journal of Information Management

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ER -

Model and experimental development for Business Data Science

Abstract

Keywords

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