Data Analytics for Effective Project Management in the Oil and Gas Industry

Victor Tan, Kamarulzaman Ab. Aziz () and Seyed Hadi Razavi
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Victor Tan: Multimedia University, Faculty of Management
Kamarulzaman Ab. Aziz: Multimedia University, Faculty of Business
Seyed Hadi Razavi: Islamic Azad University, Department of Management, Zanjan Branch

A chapter in Proceedings of the International Conference on Technology and Innovation Management (ICTIM 2022), 2022, pp 233-242 from Springer

Abstract: Abstract This study aims to highlight the effectiveness of data analytics in project management within the oil and gas sector. Data analytics have increasingly improved efficiency and effectiveness in most sectors by boosting decision-making accuracy through an intensive data-driven forecasting model. Despite the importance of data analytics in most industries, limited studies have evaluated its role within the oil and gas industry. The research applied the case study research method. Executives from a multinational oil and gas company with significant working experience were approached for the interview sessions. The thematic content analysis method was applied to sort the qualitative data and elucidate findings on the role of data analytics within the company. The insights gained from the case study of this major international oil and gas company led to recommendations for the sector in general. Finally, the study established that better returns were achieved when data-driven decisions were made compared to situations where big data were ignored.

Keywords: Data Analytics; Project Management; Oil and Gas; Big Data; Case Study (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-080-0_20

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DOI: 10.2991/978-94-6463-080-0_20

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