Proceedings of the International Conference on Technology and Innovation Management (ICTIM 2022)

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

Authors
Victor Tan1, Kamarulzaman Ab. Aziz2, *, Seyed Hadi Razavi3
1Faculty of Management, Multimedia University, 63100, Cyberjaya, Selangor , Malaysia
2Faculty of Business, Multimedia University, Jalan Ayer Keroh Lama, 75450, Bukit Beruang, Melaka , Malaysia
3Department of Management, Zanjan Branch, Islamic Azad University, Zanjan, Iran
*Corresponding author. Email: kamarulzaman.aziz@mmu.edu.my
Corresponding Author
Kamarulzaman Ab. Aziz
Available Online 26 December 2022.
DOI
10.2991/978-94-6463-080-0_20How to use a DOI?
Keywords
Data Analytics; Project Management; Oil and Gas; Big Data; Case Study
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.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Technology and Innovation Management (ICTIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
26 December 2022
ISBN
10.2991/978-94-6463-080-0_20
ISSN
2352-5428
DOI
10.2991/978-94-6463-080-0_20How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Victor Tan
AU  - Kamarulzaman Ab. Aziz
AU  - Seyed Hadi Razavi
PY  - 2022
DA  - 2022/12/26
TI  - Data Analytics for Effective Project Management in the Oil and Gas Industry
BT  - Proceedings of the International Conference on Technology and Innovation Management (ICTIM 2022)
PB  - Atlantis Press
SP  - 233
EP  - 242
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-080-0_20
DO  - 10.2991/978-94-6463-080-0_20
ID  - Tan2022
ER  -