BRI: Mining business big data qualities

Hamilton, John, and Tee, SingWhat (2018) BRI: Mining business big data qualities. In: Proceedings of the 22nd International Conference on ISO & TQM. 4-5. From: 22 ICIT: 22nd International Conference on ISO & TQM, 2-4 April 2018, Beijing, China.

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Abstract

Digital data capture from a business' big data sources remains difficult, but techniques are emerging. This paper reviews, describes, and connects usable big data components as an ingredient towards delivering an understanding of the qualities a Chinese business may astutely utilize as they expand along China's Belt Road Initiative (BRI) pathway. It suggests digital data across the business, web and social domains can provide sorted text extracts through Hadoop MapReduce algorithms, and these outputs can be qualities grouped to deliver additional business understanding concerning the qualities they aim to deliver. Similarly, qualities aspects can also be linked to audio, video and image files - but often for slightly different purposes. Hence, text mining appears the most important big data link to business quality. A digital 4 stage 5 level big data digital qualities system then strategically frames a pathway for qualities outcomes for BRI business ventures.

Item ID: 53643
Item Type: Conference Item (Research - E1)
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Date Deposited: 25 Mar 2019 23:12
FoR Codes: 15 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 1503 Business and Management > 150307 Innovation and Technology Management @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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