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Unlocking the Value of Business Intelligence Applications in Construction
From Digitalisation to Data-Driven Processes
- 1st Edition - February 1, 2026
- Authors: F. Henry Abanda, Selorm Emmanuel Adukpo, Adeyemi Akintola, Abdul-Majeed Mahamadu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 8 1 5 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 8 1 6 - 8
“Unlocking the Value of Business Intelligence (BI) Applications in Construction” reviews and evaluates the major the challenges faced in the lifecycle delivery and management of… Read more
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Request a sales quote“Unlocking the Value of Business Intelligence (BI) Applications in Construction” reviews and evaluates the major the challenges faced in the lifecycle delivery and management of construction projects. The role of business intelligence (BI) in overcoming these challenges is examined. The book covers the different applications of BI in the different phases of a project lifecycle. Following this, it reviews the applications of BI and how it can be integrated with other emerging technologies, such as AI, Machine Learning, Deep Learning and generative AI in construction. The various applications are illustrated using workflows to facilitate understanding. Applications of BI and/or BI integrated with related technologies are presented as case studies or real-life projects.
• For construction professionals, this book provides resources that addresses 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
• 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
Construction professionals: all professionals involved in various stages of the lifecycle of construction projects
Chapter 1: Introduction to Business Intelligence in Construction
Chapter 2: Data Collection and Integration in Construction Projects
Chapter 3: Business Intelligence and Related Technologies
Chapter 4: Business Intelligence Applications During the Pre-Construction Phase
Chapter 5: Business Intelligence Applications During the Construction Phase
Chapter 6: Business Intelligence Applications During Operation and Maintenance Phase
Chapter 7: Integrated BI and BIM & Digital Twins Applications in Project Lifecycle
Chapter 8: Integrated BI, Machine and Deep Learning Applications in Construction
Chapter 9: Integrated BI and AI Applications in Project Lifecycle Appendix A. Background information on probability models
Chapter 2: Data Collection and Integration in Construction Projects
Chapter 3: Business Intelligence and Related Technologies
Chapter 4: Business Intelligence Applications During the Pre-Construction Phase
Chapter 5: Business Intelligence Applications During the Construction Phase
Chapter 6: Business Intelligence Applications During Operation and Maintenance Phase
Chapter 7: Integrated BI and BIM & Digital Twins Applications in Project Lifecycle
Chapter 8: Integrated BI, Machine and Deep Learning Applications in Construction
Chapter 9: Integrated BI and AI Applications in Project Lifecycle Appendix A. Background information on probability models
- No. of pages: 250
- Language: English
- Edition: 1
- Published: February 1, 2026
- Imprint: Woodhead Publishing
- Paperback ISBN: 9780443338151
- eBook ISBN: 9780443338168
FA
F. Henry Abanda
Dr Abanda is a Reader in Construction Informatics and conducts research with the Oxford Institute for Sustainable Development in Oxford Brookes University. He is a Chartered Engineer, holds an HDR in Digital Construction Technology (Institut National Polytechnique de Toulouse, France) and a PhD in Construction IT (Oxford Brookes University, UK). His teaching and research interests are: the Semantic Web, BIM, Data Science, Artificial Intelligence, Machine and Deep Learning and Digital Twins applications in construction
Affiliations and expertise
Oxford Brookes UniversitySA
Selorm Emmanuel Adukpo
Dr Adukpo is a Lecturer in Commercial and Value Management and the Deputy Programme Leader for the MSc Construction Project Management at the University College London (UCL) where he is involved with teaching, research and knowledge transfer in the domain of construction project management. Dr Adukpo’s research interests are primarily in the areas of Infrastructure Project Delivery, Project Owner and Operator Capabilities for procuring and delivering projects, Governance of Projects, Organisational Design, Digital Capabilities for Client Organisations, Sustainability, and Policy Implications in the construction industry
Affiliations and expertise
University College LondonAA
Adeyemi Akintola
Dr Akintola is a Senior Lecturer in Quantity Surveying and Commercial Management and conducts research with the Oxford Institute for Sustainable Development at Oxford Brookes University and is a member of the Smart Construction and Impact Assessment (SC&IA) research group at Oxford Brookes University. He is a Chartered Construction Manager (MCIOB) and Surveyor with a PhD in Construction Informatics (Witwatersrand, SA). His teaching and research interests are BIM, Procurement, Semantic Web and Data Science, Cost and Value Management, Professional Identity and Critical/Theoretical Analysis of Social Phenomena in Construction
Affiliations and expertise
Oxford Brookes UniversityAM
Abdul-Majeed Mahamadu
Dr Abdul-Majeed Mahamadu is an Associate Professor of Innovative and Industrialized Construction at the Bartlett School of Sustainable Construction, University College London (UCL). His research expertise spans digitalization as well as application of data-driven processes for managing construction project delivery
Affiliations and expertise
University College London