10 June 2025
The era of modern digital data storage and processing began with the advent of magnetic tape in the 1950s, which opened up the possibility of storing […]
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- 3D Printing and Rendering
- 4D-6D and Calculation of Carbon Dioxide Emissions
- 4D, 6D-8D AND CALCULATION OF CO2 CARBON EMISSIONS
- A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH
- AUTOMATIC ETL CONVEYOR (PIPELINE)
- AUTOMATIC PIPELINE- ETL DATA VALIDATION
- Big Data
- BIG DATA AND ITS ANALYSIS
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- CHALLENGES IN WORKING WITH DATA IN THE CONSTRUCTION INDUSTRY
- CLASSIFICATION AND INTEGRATION: A COMMON LANGUAGE FOR CONSTRUCTION DATA
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- CONSTRUCTION ERP
- CONSTRUCTION ERP AND PMIS SYSTEMS
- CONSTRUCTION PROJECT COSTINGS AND ESTIMATES
- COST AND SCHEDULE FORECASTING USING MACHINE LEARNING
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- DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING
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- DATA CONVERSION INTO A STRUCTURED FORM
- DATA FLOW WITHOUT MANUAL EFFORT: WHY ETL
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- DATA INFRASTRUCTURE: FROM STORAGE FORMATS TO DIGITAL REPOSITORIES
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- DATA MODELLING AND THE EMERGENCE OF STANDARDS
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- DATA QUALITY REQUIREMENTS AND ASSURANCE
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- DATA UNIFICATION AND STRUCTURING
- DATA WAREHOUSE MANAGEMENT AND CHAOS PREVENTION
- DATA-DRIVEN ESTIMATING AND QUANTITY TAKE-OFFS
- DataDrivenConstruction
- DESIGN PARAMETERIZATION AND USE OF LLM FOR CAD OPERATION
- EMERGENCE OF BIM-CONCEPTS IN THE CONSTRUCTION INDUSTRY
- Estimation and Scheduling
- ETL AND PROCESS AUTOMATION
- EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY
- EVOLUTION OF THE USE OF DATA IN THE CONSTRUCTION INDUSTRY
- GEOMETRY IN CONSTRUCTION: FROM LINES TO CUBIC METERS
- Groupings and filtering
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- LLM AND THEIR ROLE IN DATA PROCESSING AND BUSINESS PROCESSES
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- OPEN DATA DOMINANCE
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- PANDAS DATAFRAME AND LLM CHATGPT
- PART 1. FROM CLAY TABLETS TO THE DIGITAL REVOLUTION: HOW INFORMATION HAS EVOLVED IN CONSTRUCTION
- PART 10. THE CONSTRUCTION INDUSTRY IN THE DIGITAL AGE. OPPORTUNITIES AND CHALLENGES
- PART 2. HOW THE CONSTRUCTION BUSINESS IS DROWNING IN DATA CHAOS
- PART 3. DATA FRAMEWORK IN CONSTRUCTION BUSINESS PROCESSES
- PART 4. DATA QUALITY: ORGANIZATION
- PART 5. COST AND TIME CALCULATIONS: INCORPORATING DATA INTO CONSTRUCTION PROCESSES
- PART 6. CAD AND BIM: MARKETING
- PART 7. DATA-DRIVEN DECISION-MAKING
- PART 8. DATA STORAGE AND MANAGEMENT IN CONSTRUCTION
- PART 9. BIG DATA
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- QUANTITY TAKE-OFF AND AUTOMATIC CREATION OF ESTIMATES AND SCHEDULES
- Revit and IFC
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- SURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGE
- SYSTEMATIZATION OF REQUIREMENTS AND VALIDATION OF INFORMATION
- THE DIGITAL REVOLUTION AND THE EXPLOSION OF DATA
- THE FUTURE: PREDICTIONS, FORECASTS AND MACHINE LEARNING
- TRANSFORMING DATA INTO STRUCTURED FORM
- TURNING CHAOS INTO ORDER AND REDUCING COMPLEXITY
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10 June 2025
Today’s companies are faced with the need to integrate multiple data management systems. Selecting data management systems, managing these systems well, and integrating disparate data sources […]
10 June 2025
Due to the problem of data silos, managers are forced to spend considerable time searching for and reconciling data. To hedge against quality problems, companies create […]
10 June 2025
Technological and economic stages are theoretical concepts used to describe and analyze the evolution of society and economy at different stages of development. At the same […]
10 June 2025
In this part, we explored the challenges of information silos and looked at the impact of excessive system complexity on business performance, analyzing the transition from […]
10 June 2025
Whether it is large corporations or medium-sized companies, specialists are daily engaged in filling program systems and databases with various interfaces with multiformat information (Fig. 3.2-1), […]
10 June 2025
One of the key challenges faced by construction companies during digitalization is limited access to data. This makes it difficult to integrate systems, reduces the quality […]
10 June 2025
In this part, we reviewed the key types of data used in the construction industry, got acquainted with different formats of their storage and analyzed the […]
10 June 2025
In the context of digitalization and automation of inspection and processing processes, a special role is played by classification systems elements – a kind of “digital […]
10 June 2025
Collecting and managing requirements is the first step to ensuring data quality. Despite the development of digital tools, most requirements are still formulated in an unstructured […]
10 June 2025
Taking advantage of the lack of open access to CAD databases and limited competition in the data processing market, and using marketing campaigns related to the […]
10 June 2025
Data interpretation is the final stage of analysis, where information makes sense and begins to “speak”. This is where the answers to the key questions are […]
10 June 2025
Traditional approaches to building data warehousing often result in the creation of disparate “silos of information” where important insights are inaccessible for analysis and decision making. […]
10 June 2025
IoT The Internet of Things represents a new wave of digital transformation in which every device gets its own IP address and becomes part of a […]
10 June 2025
Modern approaches to working with data are beginning to change decision-making in the construction industry. Moving from intuitive assessments to objective data analysis not only improves […]
10 June 2025
Due to the rapid digitalization of information (Fig. 1.1-5), modern construction is undergoing a fundamental transformation where data is becoming not just a tool but a […]
10 June 2025
Almost a century ago, mankind was already experiencing a similar technological revolution. The transition from steam engines to electric motors took more than four decades, but […]
10 June 2025
Construction is becoming an information management process. The more accurate, quality and complete the data, the more efficient the design, calculations, cost estimates, erection and operation […]
10 June 2025
For a long time, construction companies have been making money on non-transparent processes. The main business model was speculation – overestimating the cost of materials, scope […]
