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Unlocking the Value of Business Intelligence Applications in Construction. From Digitalisation to Data-Driven Processes. Woodhead Publishing Series in Civil and Structural Engineering

  • Book

  • December 2026
  • Elsevier Science and Technology
  • ID: 6250800
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.

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 and Maintenance Phase.
7. Integrated BI and BIM & Digital Twins Applications in Project Lifecycle.
8. Integrated BI, Machine and Deep Learning Applications in Construction.
9. Integrated BI and AI Applications in Project Lifecycle.

Authors

F. Henry Abanda Oxford Brookes University, UK. 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