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| business intelligence in construction industry: Artificial Intelligence in Construction Engineering and Management Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski, 2021-06-18 This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally. |
| business intelligence in construction industry: Business Intelligence and Performance Management Peter Rausch, Alaa F. Sheta, Aladdin Ayesh, 2013-02-15 During the 21st century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates. Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others. Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application. |
| business intelligence in construction industry: Industrial Engineering in the Age of Business Intelligence Fethi Calisir, 2022-08-24 This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held virtually on October 30–31, 2021, from Istanbul Technical University. Continuing the tradition of previous volumes, it highlights recent developments of industrial engineering at the purpose of using and managing digital and intelligent technologies for application to a wide range of field, including manufacturing, healthcare, e-commerce and mobility. |
| business intelligence in construction industry: Business Intelligence: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2015-12-29 Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries. |
| business intelligence in construction industry: Business Intelligence Rimvydas Skyrius, 2021-03-08 This book examines the managerial dimensions of business intelligence (BI) systems. It develops a set of guidelines for value creation by implementing business intelligence systems and technologies. In particular the book looks at BI as a process – driven by a mix of human and technological capabilities – to serve complex information needs in building insights and providing aid in decision making. After an introduction to the key concepts of BI and neighboring areas of information processing, the book looks at the complexity and multidimensionality of BI. It tackles both data integration and information integration issues. Bodies of knowledge and other widely accepted collections of experience are presented and turned into lessons learned. Following a straightforward introduction to the processes and technologies of BI the book embarks on BI maturity and agility, the components, drivers and inhibitors of BI culture and soft BI factors like attention, sense and trust. Eventually the book attempts to provide a holistic view on business intelligence, possible structures and tradeoffs and embarks to provide an outlook on possible developments in BI and analytics. |
| business intelligence in construction industry: Business Intelligence Roadmap Larissa Terpeluk Moss, S. Atre, 2003 This software will enable the user to learn about business intelligence roadmap. |
| business intelligence in construction industry: The Profit Impact of Business Intelligence Steve Williams, Nancy Williams, 2010-07-27 The Profit Impact of Business Intelligence presents an A-to-Z approach for getting the most business intelligence (BI) from a company's data assets or data warehouse. BI is not just a technology or methodology, it is a powerful new management approach that – when done right – can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it. When BI first came on the scene, it promised a lot but often failed to deliver. The missing element was the business-centric focus explained in this book. It shows how you can achieve the promise of BI by connecting it to your organization's strategic goals, culture, and strengths while correcting your BI weaknesses. It provides a practical, process-oriented guide to achieve the full promise of BI; shows how world-class companies used BI to become leaders in their industries; helps senior business and IT executives understand the strategic impact of BI and how they can ensure a strong payoff from their BI investments; and identifies the most common mistakes organizations make in implementing BI. The book also includes a helpful glossary of BI terms; a BI readiness assessment for your organization; and Web links and extensive references for more information. - A practical, process-oriented book that will help organizations realize the promise of BI - Written by Nancy and Steve Williams, veteran consultants and instructors with hands-on, in the trenches experience in government and corporate business intelligence applications - Will help senior business and IT executives understand the strategic impact of BI and how they can help ensure a strong payoff on BI investments |
| business intelligence in construction industry: Technology Innovation for Business Intelligence and Analytics (TIBIA) Haitham M. Alzoubi, |
| business intelligence in construction industry: Intelligent Information and Database Systems Paweł Sitek, Marcin Pietranik, Marek Krótkiewicz, Chutimet Srinilta, 2020-03-03 This volume constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 50 full papers accepted for publication in these proceedings were carefully reviewed and selected from 180 submissions. The papers are organized in the following topical sections: advanced big data, machine learning and data mining; industry applications of intelligent methods and systems; artificia intelligence, optimization, and databases in practical applications; intelligent applications of internet of things; recommendation and user centric applications of intelligent systems. |
| business intelligence in construction industry: Library of Congress Subject Headings Library of Congress. Cataloging Policy and Support Office, 2007 |
| business intelligence in construction industry: A-E Library of Congress. Office for Subject Cataloging Policy, 1990 |
| business intelligence in construction industry: Library of Congress Subject Headings Library of Congress, 1991 |
| business intelligence in construction industry: Plunkett's Real Estate & Construction Industry Almanac 2008: Real Estate & Construction Industry Market Research, Statistics, Trends & Leading Compani Jack W. Plunkett, 2008-05 Provides detailed analysis and statistics of all facets of the real estate and construction industry, including architecture, engineering, property management, finance, operations, mortgages, REITs, brokerage, construction and development. Includes profiles of nearly 400 firms. |
| business intelligence in construction industry: Social Enterprise in the Construction Industry Martin Loosemore, Dave Higgon, 2015-08-27 Through the emerging lens of social enterprise, this book examines how the global construction industry can engage more effectively with the communities in which it builds, addressing disadvantage and environmental degradation to leave a positive legacy for future generations. Combining insights from leading research and real-life case studies of social enterprise in the construction sector, the result is a practical framework which will help social enterprises, clients, consultants and construction firms work collectively to build a thriving social enterprise sector. Readers of this timely book will learn to embrace social enterprise and an important new sector in the global construction industry. They will learn to see community involvement as an opportunity rather than a risk, and fully understand the broader role they can play in building a fairer and more sustainable society. |
| business intelligence in construction industry: Doing Business and Investing in Indonesia Guide Volume 1 Strategic and Practical Information IBP, Inc., 2012-05-13 2011 Updated Reprint. Updated Annually. Doing Business and Investing in Indonesia Guide |
| business intelligence in construction industry: Indonesia Business Success Guide - Basic Practical Information and Contacts IBP, Inc., 2015-08-09 Indonesia Business Success Guide - Basic Practical Information and Contacts |
| business intelligence in construction industry: Indonesia - Doing Business for Everyone Guide: Practical Information and Contacts IBP, Inc., 2012 Business in Indonesia for Everyone: Practical Information and Contacts for Success |
| business intelligence in construction industry: Leadership in the Construction Industry George Ofori, Shamas-ur-Rehman Toor, 2021-03-07 This book presents a new framework for leadership in the construction industry which draws from the authentic leadership construct. The framework has three major themes: self-leadership, self-transcendent leadership, and sustainable leadership. Despite its significance, leadership has not been given due importance in the construction industry as focus is placed on managerial functionalism. At the project level, even with the technological advances in the industry in recent years, construction is realized in the form of people undertaking distinct interdependent activities which require effective leadership. The industry faces many challenges including: demanding client requirements and project parameters; more stringent regulations, codes and systems; intense competition in the industry; and threats from disruptive enterprise. In such a complex environment, technology-driven and tool-based project and corporate management is insufficient. It must be complemented by a strategic, genuine, stakeholder-focused and ethical leadership. Leadership in the Construction Industry is based on a study on authentic leadership and its development in Singapore. Leadership theories and concepts are reviewed; the importance of leadership in the construction industry is discussed; and the grounded theory approach which was applied in the study is explained. Many eminent construction professionals in Singapore were interviewed in the field study. Emerging from the experiences of the leaders documented in this book are three major themes: (1) self-leadership: how leaders engage in various self-related processes such as self-awareness, self-regulation, and role modeling. (2) self-transcendent leadership: how leaders go beyond leading themselves to leading others through servant leadership, shared leadership, spiritual leadership, and socially-responsible leadership; and, finally, (3) sustainable leadership or the strategies leaders employ to make the impact of their leadership lasting. A synthesis of these themes and their implications for leadership development is presented before the book concludes with some recommendations for current and aspiring leaders about how they can engage with them. This book is essential reading for all construction practitioners from all backgrounds; and researchers on leadership and management in construction. |
| business intelligence in construction industry: Library of Congress Subject Headings Library of Congress. Subject Cataloging Division, 1988 |
| business intelligence in construction industry: eWork and eBusiness in Architecture, Engineering and Construction. ECPPM 2006 Manuel Martinez, Raimar Scherer, 2006-08-24 The task of structuring information on built environment has presented challenges to the research community, software developers and the industry for the last 20 years. Recent work has taken advantage of Web and industry standards such as XML, OWL, IFC and STEP. Another important technology for the fragmented AEC industry is digital communication. Wired or wireless, it brings together architects, engineers and construction site workers, enabling them to exchange information, communicate and work together. Virtual enterprise organization structures, involving mobile teams over distance, are highly compatible with the needs of the construction industry. |
| business intelligence in construction industry: Library of Congress Subject Headings Library of Congress. Office for Subject Cataloging Policy, 1992 |
| business intelligence in construction industry: Finance Analytics in Business Sanjay Taneja, Pawan Kumar, Kiran Sood, Ercan Özen, Simon Grima, 2024-06-17 Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company’s financial data, and helps it gain knowledge to take action to improve financial performance. |
| business intelligence in construction industry: Product Lifecycle Management for a Global Market Shuichi Fukuda, Alain Bernard, Balan Gurumoorthy, Abdelaziz Bouras, 2014-12-17 This book constitutes the refereed post-proceedings of the 11th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2014, held in Yokohama, Japan, in July 2014. The 51 full papers presented were carefully reviewed and selected from 77 submissions. They are organized in the following topical sections: BIM operations, maintenance, and renovation; BIM concepts and lifecycle management; design and education; naval engineering and shipbuilding; aeronautical and automotive engineering; industry and consumer products; interoperability, integration, configuration, systems engineering; change management and maturity; knowledge engineering; knowledge management; service and manufacturing; and new PLM. |
| business intelligence in construction industry: Digitalization in Construction Chansik Park, Farzad Pour Rahimian, Nashwan Dawood, Akeem Pedro, Lee Dongmin, Rahat Hussain, Mehrtash Soltani, 2023-12-12 This book highlights the latest trends and advances in applications of digital technologies in construction engineering and management. A collection of chapters is presented, explicating how advanced technological solutions can innovatively address challenges and improve outcomes in the construction industry. Promising technologies that are highlighted include digital twins, virtual reality, augmented reality, artificial intelligence, robotics, blockchain, and distributed ledger technologies. The first section presents recent applications of extended reality technologies for construction education and advanced project control. The subsequent chapters explore Artificial Intelligence (AI), blockchain, and BIM-enabled digitalization in construction through a series of case studies, reviews, and technical studies. Innovative technologies and digitalized solutions are proposed for improved design, planning, training, monitoring, inspection, and operations management in Architectural, Engineering and Construction (AEC) contexts. In addition to the technological perspectives and insights presented, pressing issues such as decarbonization, safety, and sustainability in the built environment are also discussed. This book provides foundational knowledge and in-depth technical studies on emerging technologies for students, academics, and industry practitioners. The research demonstrates how the effective use of new technologies can enhance work methods, transform organizational structures, and bring profound advantages to construction project participants. |
| business intelligence in construction industry: Civil Service Year Book , 1999 |
| business intelligence in construction industry: Computational Intelligence Techniques for Sustainable Supply Chain Management Sanjoy Kumar Paul, Sandeep Kautish, 2024-05-24 Sustainable supply chain management involves integrating environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development to material selection and sourcing, manufacturing, packaging, transportation, and distribution. A sustainable supply chain ensures balance between economic, social, and environmental performances – such as better assurance of human rights, ethical work practices, carbon footprint reduction, waste management, and resource efficiency. Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence. This book focuses on addressing problems in advanced topics in the sustainable supply chain, and will appeal to practitioners, managers, researchers, academicians, students, and professionals interested in sustainable logistics, sustainable procurement, sustainable manufacturing, sustainable inventory and production management, sustainable scheduling, sustainable transportation, and sustainable network design. - Serves as a reference on computational intelligence–enabled sustainable supply chains for graduate students in computer/data science, industrial engineering, industrial ecology, and business - Explores key topics in sustainable supply chain informatics, that is, heuristics, metaheuristics, robotics, simulation, machine learning, big data analytics and artificial intelligence - Provides a foundation for industry leaders and professionals to understand recent and cutting-edge methodologies and technologies in the domain of sustainable supply chain powered by computational intelligence techniques |
| business intelligence in construction industry: Process Automation Strategy in Services, Manufacturing and Construction Bharati Mohapatra, Sanjana Mohapatra, Sanjay Mohapatra, 2023-02-20 Appealing to business researchers, academics and practitioners, Process Automation Strategy in Services, Manufacturing and Construction brings to life the current trends in process automation and considers what the future holds. |
| business intelligence in construction industry: Civil Service Yearbook Organization for Economic Cooperation & Development, 1998-09 |
| business intelligence in construction industry: Innovation in Construction Andre Manseau, George Seaden, 2003-09-02 How can innovation in the construction industry be strengthened? What instruments and approaches are being used by governments to promote it? What works and under what circumstances? These key questions have profound implications. This book presents a framework for the analysis of innovation models and systems in construction and an international comparison of these systems, with a focus on their application in practical policy development. |
| business intelligence in construction industry: Marketing Information Guide , 1967 |
| business intelligence in construction industry: Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition Brian Larson, 2016-11-04 Distribute Actionable, Timely BI with Microsoft® SQL Server® 2016 and Power BI Drive better, faster, more informed decision making across your organization using the expert tips and best practices featured in this hands-on guide. Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition, shows, step-by-step, how to distribute high-performance, custom analytics to users enterprise-wide. Discover how to build BI Semantic Models, create data marts and OLAP cubes, write MDX and DAX scripts, and share insights using Microsoft client tools. The book includes coverage of self-service business intelligence with Power BI. • Understand the goals and components of successful BI • Build data marts, OLAP cubes, and Tabular models • Load and cleanse data with SQL Server Integration Services • Manipulate and analyze data using MDX and DAX scripts and queries • Work with SQL Server Analysis Services and the BI Semantic Model • Author interactive reports using SQL Server Data Tools • Create KPIs and digital dashboards • Implement time-based analytics • Embed data model content in custom applications using ADOMD.NET • Use Power BI to gather, model, and visualize data in a self-service environment |
| business intelligence in construction industry: The Western Architect , 1919 |
| business intelligence in construction industry: Construction 4.0 Marco Casini, 2021-11-24 Developments in data acquisition technologies, digital information and analysis, automated construction processes, and advanced materials and products have finally started to move the construction industry - traditionally reluctant to innovation and slow in adopting new technologies - toward a new era. Massive changes are occurring because of the possibilities created by Building information modeling, Extended reality, Internet of Things, Artificial intelligence and Machine Learning, Big data, Nanotechnology, 3D printing, and other advanced technologies, which are strongly interconnected and are driving the capabilities for much more efficient construction at scale. Construction 4.0: Advanced Technology, Tools and Materials for the Digital Transformation of the Construction Industry provides readers with a state-of-the-art review of the ongoing digital transformation of the sector within the new 4.0 framework, presenting a thorough investigation of the emerging trends, technologies, and strategies in the fields of smart building design, construction, and operation and providing a comprehensive guideline on how to exploit the new possibilities offered by the digital revolution. It will be an essential reference resource for academic researchers, material scientists and civil engineers, undergraduate and graduate students, and other professionals working in the field of smart ecoefficient construction and cutting-edge technologies applied to construction. - Provides an overview of the Construction 4.0 framework to address the global challenges of the buildingsector in the 21st century and an in-depth analysis of the most advanced digital technologies and systems forthe operation and maintenance of infrastructure, real estate, and other built assets - Covers major innovations across the value chain, including building design, fabrication, construction, operationand maintenance, and end-of-life - Illustrates the most advanced digital tools and methods to support the building design activity, includinggenerative design, virtual reality, and digital fabrication - Presents a thorough review of the most advanced construction materials, building methods, and techniquesfor a new connected and automated construction model - Explores the digital transformation for smart energy buildings and their integration with emerging smartgrids and smart cities - Reflects upon major findings and identifies emerging market opportunities for the whole AECO sector |
| business intelligence in construction industry: Library of Congress Subject Headings: A-E Library of Congress. Subject Cataloging Division, 1989 |
| business intelligence in construction industry: Managing Projects with Smart Technologies Bon-Gang Hwang, Jasmine Ngo, Hanjing Zhu, 2024-04-23 With a focus on project managers (PMs) in the construction industry, this book addresses the impact of smart technology applications on project management and examines how technologically competent PMs can be developed for successfully managing and delivering projects with smart technologies. The book assesses the changes to the knowledge and skillsets required to manage projects with smart technologies; develops a Technological Competency Framework to improve PM competency when managing projects with smart technologies; and develops a Knowledge-Based Technological Competency Analytics and Innovations System to assess and improve the technological competency of PMs and provide recommendations to improve their competency. Managing Projects with Smart Technologies is ideal for PMs and academics in the areas of construction project management, engineering, architecture, and infrastructure and anyone involved in the technical training of professionals in these areas. |
| business intelligence in construction industry: Collaboration and Integration in Construction, Engineering, Management and Technology Syed M. Ahmed, Paul Hampton, Salman Azhar, Amelia D. Saul, 2020-12-21 This book gathers papers presented at the 11th International Conference on Construction in the 21st Century, held in London in 2019. Bringing together a diverse group of government agencies, academics, professionals, and students, the book addresses issues related to construction safety, innovative technologies, lean and sustainable construction, international construction, improving quality and productivity, and innovative materials in the construction industry. In addition, it highlights international collaborations between various disciplines in the areas of construction, engineering, management, and technology. The book demonstrates that, as the industry moves forward in an ever-complex global economy, multi-national collaboration is crucial, and its future growth will undoubtedly depend on international teamwork and alliances. |
| business intelligence in construction industry: Advances in Building Information Modeling Salih Ofluoglu, Ozan Onder Ozener, Umit Isikdag, 2020-03-11 This book constitutes the refereed proceedings of the First Eurasian BIM Forum, EBF 2019, held in Istanbul, Turkey, in May 2019. The 16 full papers were carefully reviewed and selected from 44 submissions. The papers cover such topics as BIM adoption and implementation; BIM for project management; BIM for sustainability and performative design; BIM and facility management and infrastructural issues. |
| business intelligence in construction industry: e-Business in Construction Chimay J. Anumba, Kirti Ruikar, 2009-01-21 With a number of disparate, often geographically distributed,organisations involved in the delivery of construction projects,there has been considerable interest in e-business tools within theconstruction industry. These tools open up a range of possibilitiesfor the industry to rethink existing processes and working methods,so their use is increasingly common. Nevertheless, there has beenlittle definitive guidance for practitioners, researchers andstudents on the major issues in electronic business from aconstruction perspective. By bringing together 16 contributions from research and industrycovering theory, technological issues, practical implementation andlegal matters, and illustrated with a number of case studies,e-Business in Construction fills that gap. Starting with thetheoretical aspects of e-commerce and moving on to consider thespecifics of the construction context, it includes a mechanism forthe assessment of the e-readiness of construction sectororganisations. The middle part of the book focuses on the role ofvarious technologies in e-business, with examples included asappropriate. This is followed by a discussion of practical, legaland trust issues. The potential of next generation of informationand communication technologies is also addressed. With a fine blend of theoretical and practical aspects ofe-commerce in construction, and well illustrated with a number ofindustrial case studies, e-Business in Construction will find anappreciative audience of construction practitioners, researchersand students at all levels. |
| business intelligence in construction industry: Building a World Class Construction Industry Mohammed Fadhil Dulaimi, 2001 The construction industry has developed an image of being the least developed sector of the economy in most countries. The industry is consistently being accused of failing its customers and providing products and services that do not meet expectations. The C21 steering committee has led a national review of the state of the construction industry in Singapore, which was completed, with the publication of the C21 report in October 1999. The report provided an analysis of the state of the industry and a set of recommendations. The committee set a vision for the construction industry for the 21st century to be a world-class builder in the knowledge age. This study builds on the work of the C21 Steering Committee and working groups, and the conclusions of the C21 report. The eight-month study addresses the question of how Singapore's construction industry can change and improve itself. The study starts with a comparison of the C21 report with similar reviews in the UK and Australia. The main fundamental problems and challenges facing the construction industry are not unique but universal. The latest review in the UK, which was one of several in the last 50 years, was different as it was mainly client led. The Australian initiative was part of a national action agenda to improve the different sectors of the industry. This had an impact on the nature of the conclusions and recommendations. The study examined the impact of the C21 report on the construction industry. The study received and analysed survey responses from 200 companies involved in construction including clients, contractors, subcontractors, consultants, specialist contractors, suppliers and manufacturers. The study has established that the level of awareness of the C21 report is not high. Also the respondents provided only moderate support to the potential of the C21 to improve the state of the industry. Therefore, the study strongly recommends a more effective dissemination program to inform the industry of the rationale and philosophies of C21. This program should include discussion forums and feedback on the barriers and enablers for greater improvements. The study has identified 12 key factors that are seen to impede the attempts of the industry to improve its business activities. The industry has, collectively, also identified the main problems to be: client focus on the lowest price at the tendering stage; and the narrow profit margins in construction business activities. However, the different sectors in the industry expressed different views. The study then examined the C21 strategic thrusts and studied the possible enablers and motivators that would help the industry to achieve improvements under nine several categories. The study also explored the differing views in the different groupings. Upon closer examination of the results of the study, one theme that underpins many of the potential solutions is that sustained improvement in a market driven economy can only be recognized by creating the market forces that would demand these improvements. Therefore, the study recommends that an effective way to improve construction business is to adopt a market driven agenda for improvement aimed at delivering changes and improvements that are focused on providing better value products and services to the customer. A key to the achievement of this aim is for the clients of the construction industry led by the biggest among them, to adopt practices that would facilitate this change and empower the industry to realize its potential. |
| business intelligence in construction industry: Page's Engineering Weekly , 1909 |
Business intelligence and analytics to support management in ...
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Article discusses issue of implementation and use of Business intelligence in Slovak construction industry from various point of view. The main objective of this article is to confirm impact of …
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Business intelligence tools are being widely utilized in the construction industry where the BIM is applied in various fields which comprise of prefabrication, design verification and quantity …
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Leveraging AI, particularly through data analysis, predictive analytics, and machine learning, addresses these challenges by optimizing project planning, scheduling, and risk management. …
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construction companies have emerged as the leading drivers of BIM innovation and value. This report analyzes new survey data collected exclusively from construction companies that use …
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AI is expected to alter business models in the construction industry in areas including logistics, customer relationship management, support, workflow, automation and finance. Even more AI …
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CONSTRUCTION INDUSTRY FORECAST - Glenigan
Glenigan Analytix is a business intelligence platform that provides construction businesses with the insights they need to succeed. Our platform integrates data from planning applications, …
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Artificial Intelligence when implemented in Construction Industry is expected to alter Business Models in logistics, customer relationship management, and support. It also helps to rectify …
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This research presents a discussion of the numerous methodologies that have been researched by the researchers along with a review of the artificial intelligence that is used in the …
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Digitalisation in construction report 2023 - RICS
Digitalisation in construction report 2023 offers crucial insights into the present state and future trajectory of digitalisation in the construction industry. Drawing from the RICS GCM survey …
Business intelligence and analytics to support management …
Therefore, the present work presents a survey of Business Intelligence and Analytics tools applicable to the construction sector and its possible applications, in order to present options …
Construction Industry Forecast 2024-2025 - Glenigan
Glenigan Analytix is a business intelligence platform that provides construction businesses with the insights they need to succeed. Our platform integrates data from planning applications, …
A metadata review on business intelligence in the …
Business intelligence (BI) is critical for companies to migrate into Industry 4.0. Therefore, this study aims to review the literature related to BI in the construction industry to find...
IMPACT OF IMPLEMENTATION AND USE OF BUSINESS …
Article discusses issue of implementation and use of Business intelligence in Slovak construction industry from various point of view. The main objective of this article is to confirm impact of …
Artificial Intelligence Methods in Construction Industry
AI enables to update business models in the construction industry in areas viz., logistics, customer relationship management, support, workflow, automation and finance. AI helps in …
Predictive Artificial Intelligence in Construction - Oracle
Artificial intelligence (AI) holds enormous potential to help E&C organizations achieve this goal by unlocking new predictive insights from project data. It’s time for the art of construction to meet …
Digitalization in the construction industry - Oliver Wyman
Our experience shows that construction players often lack a full picture of the stakes of digitalization for their industry. To define a company vision, they need to answer the following …
THE IMPORTANCE OF PRE-FABRICATION AND ITS …
Business intelligence tools are being widely utilized in the construction industry where the BIM is applied in various fields which comprise of prefabrication, design verification and quantity …
Artificial intelligence in the construction industry: A review …
While acknowledging the benefits of AI applications, numerous challenges which are relevant to AI still exist in the construction industry. This study aims to unravel AI applications, examine AI …
Integrating Artificial Intelligence in Construction …
Leveraging AI, particularly through data analysis, predictive analytics, and machine learning, addresses these challenges by optimizing project planning, scheduling, and risk management. …
The Business Value of BIM for Construction in Major Global …
construction companies have emerged as the leading drivers of BIM innovation and value. This report analyzes new survey data collected exclusively from construction companies that use …
Applications of Artificial Intelligence in Construction …
AI is expected to alter business models in the construction industry in areas including logistics, customer relationship management, support, workflow, automation and finance. Even more AI …
Artificial intelligence: Construction technology’s next frontier
Building on last year’s report, we offer predictions for where and how AI can infiltrate construction across three categories: Examining where AI solutions are beginning to emerge in …
Business intelligence | Construction law legal and industry …
Business intelligence | Construction law in 2017: a review of key legal and industry developments is published by Informa Law, Christchurch Court, 10-15 Newgate Street, London EC1A 7AZ.
CONSTRUCTION INDUSTRY FORECAST - Glenigan
Glenigan Analytix is a business intelligence platform that provides construction businesses with the insights they need to succeed. Our platform integrates data from planning applications, …
ARTIFICIAL INTELLIGEENCE IN CONSTRUCTION INDUSTRY
Artificial Intelligence when implemented in Construction Industry is expected to alter Business Models in logistics, customer relationship management, and support. It also helps to rectify …
Role of Artificial Intelligence in Construction Project …
This research presents a discussion of the numerous methodologies that have been researched by the researchers along with a review of the artificial intelligence that is used in the …
Winning with connected construction | Digital opportunities …
Oct 29, 2018 · Using connected construction tools, such as active and passive asset tracking, connected time clocks, computer vision, AR/ VR, real-time data analytics, predictive …
5 ways construction workforce intelligence delivers beyond …
Many of the industry’s most respected names now extend workforce intelligence to preconstruction, forecasting, human resources, business development, and recruitment and …
