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 […]
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- PART 10. THE CONSTRUCTION INDUSTRY IN THE DIGITAL AGE. OPPORTUNITIES AND CHALLENGES
- PART 2. HOW THE CONSTRUCTION BUSINESS IS DROWNING IN DATA CHAOS
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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
From 2024, the design and construction industry is undergoing a significant technological shift in the use and processing of data. Instead of free access to design […]
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
As the number of digital systems within companies grows, so does the need for data consistency between them. Managers responsible for different IT systems often find […]
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
Historically, construction element and work classifiers have evolved in three generations, each reflecting the level of available technology and the current needs of the industry in […]
10 June 2025
Effective management of data (structured and categorized by us earlier) is impossible without a well thought-out storage and processing structure. To ensure access and consistency of […]
10 June 2025
Having a data model and description of entities through parameters, we are ready to create databases – storages, where we will store information coming after the […]
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
Up to 80% of data created in companies is in unstructured or semi-structured formats (“Structured and unstructured data: What’s the Difference?,” 2024) – text, documents, letters, […]
10 June 2025
Before starting validation, it is important to make sure that the data are available in a form suitable for the validation process. This means not just […]
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
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
In this part we looked at how to convert unstructured data into a structured format, develop data models and organize processes for checking the quality of […]
