Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/221968
Title: A STUDY ON ADOPTION OF BIG DATA AND ANALYTICS IN THE LOCAL CONSTRUCTION INDUSTRY
Authors: LIM ZHIJUN MANDY
Keywords: Building
PFM
Project and Facilities Management
Goh Yang Miang
2015/2016 PFM
Big data
Data analytics
Data management
Construction industry
IT
Singapore Construction Industry
Issue Date: 14-Jul-2016
Citation: LIM ZHIJUN MANDY (2016-07-14). A STUDY ON ADOPTION OF BIG DATA AND ANALYTICS IN THE LOCAL CONSTRUCTION INDUSTRY. ScholarBank@NUS Repository.
Abstract: As big data analytics have become one of the hot topics in fueling business transformation, this study aims to find out the current adoption of big data and analytics in the local construction industry. This is investigated through primary and secondary research, in which, extensive literature reviews was first conducted to have a general understanding of the industry. Interviews, survey questionnaire and focus group discussion were then carried out to find out the data management landscape in local construction companies, professionals’ knowledge towards big data and analytics and the various data types available in the industry. In addition, the study had also investigated the challenges and perceptions of respondents towards big data and analytics. Through the study, it had led to 4 conclusions: (1) There is low awareness on the importance of big data and analytics, (2) Professionals in the local construction industry are not competent in high level analytics skills, (3) Local construction companies do not conduct analytics that require high-level of analytics skills, and (4) There are extensive amount of unstructured data available in the construction companies which can potentially be processed into useful analytics. The study had also provided some recommendations that market leaders, researchers or the government leaders can potentially consider so as to increase the level of adoption in big data and analytics in the local construction industry.
URI: https://scholarbank.nus.edu.sg/handle/10635/221968
Appears in Collections:Bachelor's Theses

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