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F. Henry Abanda - Unlocking the Value of Business Intelligence Applications in Construction, Häftad

Häftad, Engelska, 2026

Unlocking the Value of Business Intelligence Applications in Construction

From Digitalisation to Data-Driven Processes

Av F. Henry Abanda

Del i serien Woodhead Publishing Series in Civil and Structural Engineering

2608 kr

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Beskrivning
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.

  • 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
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Mer om författaren

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.

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