10 June 2025
For millennia, the amount of information recorded in construction has barely changed, but it has grown rapidly in recent decades (Fig. 1.1-5). According to the PwC […]
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- 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
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- TRANSFORMING DATA INTO STRUCTURED FORM
- TURNING CHAOS INTO ORDER AND REDUCING COMPLEXITY
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10 June 2025
At first glance, it may seem that more digital tools lead to greater efficiency. In practice, however, this is not the case. With each new solution, […]
10 June 2025
The more data an organization accumulates, the harder it becomes to extract real value from it. Because of the fragmented nature of storing information in isolated […]
10 June 2025
In the construction industry, information comes from many sources – drawings, specifications, schedules and reports. To effectively manage this flow of information, it needs to be […]
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
Textual data in the construction industry covers a wide range of formats and types of information, from paper documents to informal methods of communication such as […]
10 June 2025
Modern CAD and BIM systems store data in their own, often proprietary formats: DWG, DXF, RVT, DGN, PLN and others. These formats support both 2D and […]
10 June 2025
The concept of Building Information Modeling (BIM), first outlined in the 2002 BIM Whitepaper (“Building Information Modeling Whitepaper site,” 2003), originated from the marketing initiatives of […]
10 June 2025
Today, most companies are facing a paradox: about 80% of their daily processes still rely on classic structured data – familiar Excel spreadsheets and relational databases […]
10 June 2025
Data in information systems are organized in different ways – depending on the tasks and requirements for storing, processing and transmitting information. The key difference between […]
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
The construction industry was one of the last to address the problem of closed and proprietary data. Unlike other sectors of the economy, digitalization has been […]
10 June 2025
Big language models (ChatGPT, LlaMa, Mistral, Claude, DeepSeek, QWEN, Grok) are neural networks trained on huge amounts of textual data from the Internet, books, articles and […]
10 June 2025
When diving into the world of automation, data analysis, and artificial intelligence – especially when working with large language models (LLMs) – it is critical to […]
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 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
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 […]
