Unlocking the Value of Business Intelligence Applications in Construction
From Digitalisation to Data-Driven Processes
- 1st Edition - December 1, 2026
- Latest edition
- Author: F. Henry Abanda
- Language: English
Unlocking the Value of Business Intelligence Applications in Construction: From Digitalisation to Data-Driven Processes reviews and evaluates the major challenges faced in the li… Read more
Description
Description
Unlocking the Value of Business Intelligence Applications in Construction: From Digitalisation to Data-Driven Processes reviews and evaluates the major challenges faced in the lifecycle delivery and management of construction projects. The role of business intelligence (BI) in overcoming these challenges is examined, and the book covers the different applications of BI in the different phases of a project lifecycle. Following this, it reviews how BI can be integrated with other emerging technologies, such as AI, Machine Learning, Deep Learning, and generative AI in construction.
Various applications are illustrated using workflows to facilitate understanding. Applications of BI and/or BI integrated with related technologies are also presented as case studies or real-life projects.
Various applications are illustrated using workflows to facilitate understanding. Applications of BI and/or BI integrated with related technologies are also presented as case studies or real-life projects.
Key features
Key features
- Provides resources that address how to effectively transform the large volume and complexity of data in construction in order to improve the performance of projects
- Shows how to integrate data in order to optimize data processing and analysis for efficient decision-making in construction projects
- Discusses the applications of business intelligence and other emerging technologies in construction practice, providing greater insights into their capabilities
Readership
Readership
Construction professionals: all professionals involved in various stages of the lifecycle of construction projects
Table of contents
Table of contents
1. Introduction to Business Intelligence in Construction
2. Data Collection and Integration in Construction Projects
3. Business Intelligence and Related Technologies
4. Business Intelligence Applications During the Pre-Construction Phase
5. Business Intelligence Applications During the Construction Phase
6. Business Intelligence Applications During Operation & Maintenance Phase
7. Integrated BI, BIM & Digital Twin Applications in the Project Lifecycle
8. Integrated BI, Machine and Deep Learning Applications in Construction
9. Integrated BI and AI Applications in the Project Lifecycle
10. Integrated BI and Generative AI Applications in the Project Lifecycle
11. Future Trends and Innovations in Business Intelligence and Related Technologies for Construction
2. Data Collection and Integration in Construction Projects
3. Business Intelligence and Related Technologies
4. Business Intelligence Applications During the Pre-Construction Phase
5. Business Intelligence Applications During the Construction Phase
6. Business Intelligence Applications During Operation & Maintenance Phase
7. Integrated BI, BIM & Digital Twin Applications in the Project Lifecycle
8. Integrated BI, Machine and Deep Learning Applications in Construction
9. Integrated BI and AI Applications in the Project Lifecycle
10. Integrated BI and Generative AI Applications in the Project Lifecycle
11. Future Trends and Innovations in Business Intelligence and Related Technologies for Construction
Product details
Product details
- Edition: 1
- Latest edition
- Published: December 1, 2026
- Language: English
About the author
About the author
F. Henry Abanda
Author
F. Henry Abanda is an associate professor at the École Nationale Supérieure des Travaux Publics (Yaoundé, Cameroon). His prior roles include reader/associate professor at the Oxford Institute for Sustainable Development, Oxford Brookes University (United Kingdom), and Smart City and Green Building Lead at Fokabs Inc. (Ottawa, Canada). He is a chartered engineer with the UK Institution of Engineering and Technology, holds an HDR in Digital Construction Technology from the Institut National Polytechnique de Toulouse (France), and has a PhD in Construction IT from Oxford Brookes University. His teaching and research focus on the applications of the Semantic Web, BIM, data science, artificial intelligence, machine/deep learning, and digital twins in construction.
Affiliations and expertise
Oxford Brookes University, UK