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Model and experimental development for business data science

Model and experimental development for business data science
Model and experimental development for business data science
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.
business data science (BDS), modelling and experimental techniques for BDS, future directions and contributions for data science
0268-4012
607-617
Newman, Russell
1eb83ba3-1acc-4aad-8393-63749c7a2293
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Walters, Robert
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Newman, Russell
1eb83ba3-1acc-4aad-8393-63749c7a2293
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Walters, Robert
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0

Newman, Russell, Chang, Victor, Walters, Robert and Wills, Gary (2016) Model and experimental development for business data science. International Journal of Information Management, 36 (4), 607-617. (doi:10.1016/j.ijinfomgt.2016.04.004).

Record type: Article

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.

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Model and experimental Dev for business data science accepted.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 3 April 2016
e-pub ahead of print date: 8 April 2016
Published date: August 2016
Keywords: business data science (BDS), modelling and experimental techniques for BDS, future directions and contributions for data science
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 390670
URI: http://eprints.soton.ac.uk/id/eprint/390670
ISSN: 0268-4012
PURE UUID: 977f1e61-40e3-42ca-b455-1bfa45729d19
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 03 Apr 2016 00:14
Last modified: 17 Dec 2019 06:53

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