Model and experimental development for Business Data Science |
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| Institution: | 1. Electronics and Computer Science, University of Southampton, Southampton, UK;2. Xi''an Jiaotong Liverpool University, Suzhou, China;1. Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia;2. Department of Computer Science, COMSATS Institute of Information Technology (CIIT), Pakistan;3. International Business School Suzhou, Xi''an Jiaotong Liverpool University, Suzhou, China;1. Faculty of Computer Science and Information Technology, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia;2. Center for Mobile Cloud Computing Research, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia;3. International Business School Suzhou, Xi''an Jiaotong Liverpool University, Suzhou, China;1. Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium;2. Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland;1. Faculty of Computer Science and Information Technology, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia;2. Center for Mobile Cloud Computing Research, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia;3. Xi''an Jiaotong Liverpool University, Suzhou, China;1. King Abdulaziz University, Faculty of Economics and Administration, Jeddah 21589, Saudi Arabia;2. HEC Montreal, Marketing Department 3000 Côte Sainte-Catherine, Montreal, QC H3T 2A7, Canada |
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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. |
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| Keywords: | Business Data Science (BDS) Modelling and experimental techniques for BDS Future directions and contributions for Data Science |
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