Hamilton, John (2018) Tracking Big Data: real-time qualities for OBOR businesses. In: Proceedings of the 22nd International Conference on ISO & TQM. 6-1. From: 22 ICIT: 22nd International Conference on ISO & TQM, 2-4 April 2018, Beijing, China.

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Abstract

Big data capture presents additional business intelligences for corporate leaders and businesses when considering their leading-edge 'One Belt One Road' (OBOR) – now termed Belt Road Initiative (BRI) project. Big data can offer disruptive changes when applied to latest technical and software innovation deliveries. Big data integrates social, mobile, analytics and cloud information. Its analysis offers an overthe-horizon, time-shift jump into tomorrow's competitiveness - with linkages often targeted towards profit generation. Big data values are extractable and interpretable through behavioural approaches. Big data qualities can also be extracted and interpreted and can be used to guide improvements in a business's deliverables. Real-time big data tracking remains highly complex and this presentation shows that both values and qualities components can be extracted and interpreted. In BRI applications a Hadoop MapReduce approach, or a similar text-extraction approach, can be applied across any of China's foreign (and/or domestic) businesses as they work to improve their international projects. Big data values and qualities research agendas remain essential if China is to maintain and develop its dominant BRI partnering nation status.

Item ID:	53645
Item Type:	Conference Item (Research - E1)
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Date Deposited:	29 May 2019 00:57
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