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 […]
- All
- 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
- Blog
- CHALLENGES IN WORKING WITH DATA IN THE CONSTRUCTION INDUSTRY
- CLASSIFICATION AND INTEGRATION: A COMMON LANGUAGE FOR CONSTRUCTION DATA
- CLOSED PROJECT FORMATS AND INTEROPERABILITY ISSUES
- CONSTRUCTION ERP
- CONSTRUCTION ERP AND PMIS SYSTEMS
- CONSTRUCTION PROJECT COSTINGS AND ESTIMATES
- COST AND SCHEDULE FORECASTING USING MACHINE LEARNING
- COST CALCULATIONS AND ESTIMATES FOR CONSTRUCTION PROJECTS
- Dashboard and Data Visualization
- DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING
- DATA ANALYTICS AND DECISION-MAKING PROCESS
- Data Conversion
- DATA CONVERSION INTO A STRUCTURED FORM
- DATA FLOW WITHOUT MANUAL EFFORT: WHY ETL
- DATA FRAGMENTATION AND SILOS
- DATA INFRASTRUCTURE: FROM STORAGE FORMATS TO DIGITAL REPOSITORIES
- Data Management
- DATA MODELLING AND THE EMERGENCE OF STANDARDS
- Data Processing and Export
- DATA QUALITY REQUIREMENTS AND ASSURANCE
- DATA TYPES IN CONSTRUCTION
- 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
- IDE WITH LLM SUPPORT AND FUTURE PROGRAMMING CHANGES
- LLM AND THEIR ROLE IN DATA PROCESSING AND BUSINESS PROCESSES
- MACHINE LEARNING AND PREDICTIONS
- Main Page
- MANAGEMENT SYSTEMS IN CONSTRUCTION
- MODERN DATA TECHNOLOGIES IN THE CONSTRUCTION INDUSTRY
- News & Blog
- OPEN DATA DOMINANCE
- ORCHESTRATION OF ETL AND WORKFLOWS: PRACTICAL SOLUTIONS
- 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
- Pipelines
- Process Automation
- Project Management
- Quality Control
- QUANTITY TAKE-OFF AND AUTOMATIC CREATION OF ESTIMATES AND SCHEDULES
- Revit and IFC
- Software Integration
- 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
- Uncategorized
10 June 2025
In the era of the data-driven economy, data is becoming the basis for decision-making rather than an obstacle. Instead of constantly adapting information to each new […]
10 June 2025
In addition to PDF documents with tables (Fig. 4.1-2) and scanned versions of tabular forms (Fig. 4.1-5), a significant part of information in project documentation is […]
10 June 2025
Today’s design data architecture is undergoing fundamental changes. The industry is moving away from bulky, isolated models and closed formats towards more flexible, machine-readable structures focused […]
10 June 2025
Effective data management requires a clear standardization strategy. Only with clear requirements for data structure and quality can data validation be automated, manual operations reduced and […]
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
With data becoming one of the key strategic assets, companies need to do more than just collect and store information correctly – it is important to […]
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
Visualization is an essential tool for interpreting inspection results. In addition to the usual summary tables, it can include dashboards, diagrams, and automatically generated PDF documents […]
10 June 2025
Despite the constant development of data quality control methods and tools, the fundamental principle of information compliance remains unchanged. This principle is built into the foundation […]
10 June 2025
The construction schedule is a visual representation of the plan of activities and processes to be performed as part of the project implementation. It is created […]
10 June 2025
Modular ERP systems integrate various attribute (information) layers and data flows into a single comprehensive system, allowing project managers to manage resources, finances, logistics and other […]
10 June 2025
In this part, we have shown how structured data becomes the basis for accurate cost and schedule calculations for construction projects. Automating the QTO, scheduling and […]
10 June 2025
Thanks to the ideas of the semantic web in the late 1990s and the efforts of organizations involved in the development of the IFC format, semantics […]
10 June 2025
The proprietary nature of CAD -systems has led to the fact that each program has its own unique data format, which is either closed and inaccessible […]
10 June 2025
When working with the design data of the future, it is unlikely that anyone really needs to understand the geometric kernels of proprietary tools or learn […]
10 June 2025
After the steps of collecting, structuring, cleaning and verifying the information, a coherent and analyzable data set has been formed. The previous parts of the book […]
10 June 2025
In today’s construction industry, where project data is characterized by complexity and multi-level structure, visualization plays a key role. Visualization of data allows project managers and […]
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
After completion of the Transform stage, when the data have been brought to a structured form and verified, the final stage – Load, where the data […]
