Unlocking the Value of Business Intelligence Applications in Construction

Nyhet

From Digitalisation to Data-Driven Processes

Häftad, Engelska, 2026

Av F. Henry Abanda, Selorm Emmanuel Adukpo, Adeyemi Akintola, Abdul-Majeed Mahamadu, F Henry Abanda

2 379 kr

Kommande

Unlocking the Value of Business Intelligence Applications in Construction: From Digitalisation to Data-Driven Processes 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

Produktinformation

Utgivningsdatum2026-12-01
Mått152 x 229 x undefined mm
FormatHäftad
SpråkEngelska
SerieWoodhead Publishing Series in Civil and Structural Engineering
Antal sidor250
FörlagElsevier Science
ISBN9780443338151

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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 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 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 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

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.