28 August 2023
- 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
The less complex the data and systems are, the less code you need to write and maintain. And the easiest way to save development is to […]
10 June 2025
The main advantage of the SQL language, often used in relational databases, over other types of information management (for example, with the help of classic Excel […]
10 June 2025
The emergence of Large Language Models (LLMs) was a natural extension of the movement towards structured open data and the Open Source philosophy. When data becomes […]
10 June 2025
Pandas occupies a special place in the world of data analysis and automation. It is one of the most popular and widely used libraries of the […]
10 June 2025
DataFrame is the central structure in the Pandas library, which is a two-dimensional table (Fig. 3.4-6) where rows correspond to individual objects or records and columns […]
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
One of the most common tasks in construction projects is to process specifications in PDF format. To demonstrate the transition from unstructured data to a structured […]
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
Structuring and categorizing CAD data (BIM) is more challenging because data stored from CAD (BIM) databases are almost always in closed or complex parametric formats, often […]
10 June 2025
All new data entering the system – be it documents, tables or database entries from the client, architect, engineer, foreman, logistician or property manager – must […]
10 June 2025
Translating unstructured data into a structured form significantly improves the efficiency of various processes: it simplifies data processing (Fig. 4.1-1, Fig. 4.1-2) and speeds up the […]
10 June 2025
In real construction projects, it is often necessary to perform aggregation by several attributes simultaneously within one group of elements. For example, when working with the […]
10 June 2025
Other industries have faced the limitations of technologies for using semantics. In the gaming industry, attempts to describe game objects and their interactions through ontologies have […]
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
In addition to the development of CAD database access tools and open and simplified CAD -formats, the emergence of LLM -tools (Large Language Models) is revolutionizing […]
10 June 2025
The process of data processing from DWG -files due to the unstructured nature of the information – has always been a complex task, requiring specialized software […]
10 June 2025
When key performance indicators (KPI) stop growing, despite the increase in data volumes and team size, company management inevitably comes to the realization of the need […]
10 June 2025
The first stage of the ETL process – Extract) – starts with writing code to collect data sets to be further checked and processed. To do […]
10 June 2025
Data from CAD systems and databases (BIM) are some of the most sophisticated and dynamically updated data sources in the business of construction companies. These applications […]
