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
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
August 2016
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), .
(doi:10.1016/j.ijinfomgt.2016.04.004).
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.
Text
Model and experimental Dev for business data science accepted.pdf
- Accepted Manuscript
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
Catalogue record
Date deposited: 03 Apr 2016 00:14
Last modified: 15 Mar 2024 05:27
Export record
Altmetrics
Contributors
Author:
Russell Newman
Author:
Victor Chang
Author:
Robert Walters
Author:
Gary Wills
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics