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Dive into the world of data-driven construction with this accessible guide, perfect for professionals and novices alike.
From the basics of data management to cutting-edge trends in digital transformation, this book
will be your comprehensive guide to using data in the construction industry.
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 way: through letters, meeting minutes, phone calls and verbal...
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, PDF -files, conversations. Such data (Fig. 4.4-1) is difficult...
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 having the information available, but preparing it: the data...
All new data entering the system – be it documents, tables or database entries from the client, architect, engineer, foreman, logistician or property manager – must be validated against the requirements formulated earlier (Fig. 4.4-9)....
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 that group project elements by inspection status. Color coding...
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 of a mature management system, whether in business or...
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 information in construction projects. Data management, standardization and classification...
Among the many business processes that determine the sustainability of a company in the construction industry, of particular importance – as they were thousands of years ago – are the processes for accurately estimating the...
A variety of estimating methods are used by costing professionals, each focusing on a specific type of data, availability of information, and level of project detail. The most common include: Resource-based method: estimating the estimated...
Resource-based costing is a method of management accounting, in which the cost of a project is formed on the basis of direct accounting of all resources involved. In construction, this approach involves a detailed analysis...
A database or table of construction resources and materials – includes detailed information about each element that can be used in a construction project – a commodity, product, material or service, including its name, description,...
Having filled the “Construction Resource Database” (Fig. 5.1-3) with entities-minimum units, you can start creating calculations, which are calculated for each process or work on the construction site for certain units of measurement: for example,...
State and industry-specific estimating standards play different roles in construction practice in different countries. While some countries require strict adherence to a single standard, most developed economies adopt a more flexible approach. In market economies,...
With the costing tables with the described processes through the resources (Fig. 5.1-8) in hand, the next step is to automatically obtain the volume or quantity parameters for a group of elements that are needed...
QTO (Quantity Take-Off) in construction is the process of extracting the quantitative characteristics of the elements required to realize a project. In practice, QTO is often a semi-manual process involving data collection from various sources:...
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 validation process by making the requirements clear and transparent,...
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 category “Windows” (where the Category attribute contains values like...
In addition to costing, one of the key applications of design data in construction is the determination of time parameters, both for individual construction operations and for the entire project. The resource-based estimating method and...
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 on the basis of detailed resource calculations (Fig. 5.3-1),...
6D, 7D and 8D are extended levels of information modeling, each of which contributes additional layers of attributes to the comprehensive project information model, the basis of which are the attributes of the 3D -model...
In addition to the topic of sustainability of construction projects at stage 6D (Fig. 5.3-5), modern construction focuses on the environmental sustainability of projects, where one of the key aspects becomes the assessment and minimization...
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 aspects of a project in a synchronized manner within...
Unlike ERP, which covers the entire chain of a company’s business processes, PMIS focuses on managing a specific project, monitoring timelines, budgets, resources and documentation. PMIS (Project Management Information System) is construction project management software...
The use of bulky modular ERP/PMIS -systems consisting of tens of millions of lines of code makes any changes in them extremely difficult. At the same time, the transition to a new platform with modules...
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 estimating processes reduces labor costs and significantly improves the...
With the advent of digital data in the 1990s, computer technology was introduced not only in business processes but also in design processes, leading to concepts such as CAD (computer-aided design systems) and later, BIM...
Instead of focusing on data, structuring it and integrating it into unified processes, users of CAD – (BIM-) systems are forced to work with a fragmented set of proprietary solutions, each dictating its own rules...
The so-called open format IFC (Industry Foundation Classes) is positioned as a standard to ensure interoperability between different CAD (BIM -) systems. Its development was carried out within the framework of organizations that were created...
In most cases, when the geometry in IFC is defined parametrically (BREP), it becomes impossible to visualize or retrieve geometric properties, such as volume or area of project entities, with only an IFC file, because...
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 and ontologies have become some of the key elements...
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 proven ineffective due to the high dynamics of change....
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 from the outside – RVT, PLN, DWG, NDW, NWD,...
If in the mid-1990s the key direction of interoperability development in the CAD environment was the breaking of the proprietary DWG format – culminating in the victory of the Open DWG alliance (А. Boiko, “The...
The emergence of the AOUSD alliance (Apple.com, “Pixar, Adobe, Apple and NVIDIA form Alliance for OpenUSD to drive open standards for 3D content,” August 1, 2023) in 2023 marks an important turn in the construction...
Geometry in construction is not only a visualization, but also the basis for accurate quantitative calculations. In the project model, geometry supplements the lists of element parameters (Fig. 3.1-16) with important volumetric characteristics such as...
In engineering practice, volumes and areas are computed from geometric surfaces described analytically or through parametric models such as NURBS (nonuniform rational B-splines) within the BREP (boundary element representation) framework. NURBS (Non-Uniform Rational B-Splines) is...
In the construction industry, when streaming, developing systems, databases or automating processes that work with design information and feature geometry, it is important to strive for independence from specific CAD editors and geometry kernels. The...
In addition to geometric representation formats, in a world where different industries use different levels of detail and depth of data, CAD – (BIM-) methodologies offer their own unique classification systems, which structure the approach...
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 new acronym BIM, organizations involved in developing approaches to...
Modern CAD (BIM) platforms have significantly transformed the approach to design and construction information management. While previously these tools were mainly used to create drawings and 3D models, today they serve as full-fledged repositories of...
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🚀 Welcome to the future of data in construction!
You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

By downloading, you agree to the DataDrivenConstruction terms of use
Stay ahead with the latest updates on converters, tools, AI, LLM
and data analytics in construction — Subscribe now!
🚀 Welcome to the future of data in construction!
You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

By downloading, you agree to the DataDrivenConstruction terms of use
Stay ahead with the latest updates on converters, tools, AI, LLM
and data analytics in construction — Subscribe now!
🚀 Welcome to the future of data in construction!
You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

By downloading, you agree to the DataDrivenConstruction terms of use
Stay ahead with the latest updates on converters, tools, AI, LLM
and data analytics in construction — Subscribe now!
🚀 Welcome to the future of data in construction!
You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

By downloading, you agree to the DataDrivenConstruction terms of use
Stay ahead with the latest updates on converters, tools, AI, LLM
and data analytics in construction — Subscribe now!
🚀 Welcome to the future of data in construction!
You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

By downloading, you agree to the DDC terms of use
🚀 Welcome to the future of data in construction!
You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

By downloading, you agree to the DataDrivenConstruction terms of use
Stay ahead with the latest updates on converters, tools, AI, LLM
and data analytics in construction — Subscribe now!
🚀 Welcome to the future of data in construction!

By downloading, you agree to the DataDrivenConstruction terms of use
Stay ahead with the latest updates on converters, tools, AI, LLM
and data analytics in construction — Subscribe now!
CHAPTER 016: HiPPO or the Danger of Opinions in Decision Making
Discusses the importance of structured data over subjective opinions for decision-making.
CHAPTER 035: Data Transformation: The Critical Foundation of Modern Business Analysis
Covers data cleaning, validation, and structuring, including handling "dirty" data.
CHAPTER 025: Structured Data
Explores working with structured formats like XLSX, CSV, and SQL.
CHAPTER 051: Learning how to turn documents, PDF, pictures and texts into structured formats
Practical methods for converting different Documents abd geometric data into structured tables.
CHAPTER 007: Corporate Mycelium: How Data Connects to Business Processes
Explains data integration across systems via "mycelium" networks of managers and tools.
CHAPTER 014: Data Silos and Their Impact on Company Performance
Challenges of siloed systems and the need for workflow automation.
CHAPTER 132: n8n & Workflow Automation
Examples of integrating data using ETL tools (Apache NiFi, Airflow, n8n).
CHAPTER 046: Choosing an IDE: From LLM Experiments to Business Solutions
Setting up automated pipelines in Jupyter Notebook, VS Code, and Google Collab.
CHAPTER 041: LLM Chatbots: ChatGPT, LlaMa, Mistral, Claude, DeepSeek, QWEN, Grok for Automating Data Processing
The role of LLMs in data analysis and code generation.
CHAPTER 045: RAG: Intelligent LLM Assistants with Access to Corporate Data
Retrieval-Augmented Generation (RAG) for document and database queries.
CHAPTER 044: AI in the Company and How to Deploy Your Own LLM
implementing local LLMs to process sensitive construction data
CHAPTER 029: Text Data: Between Unstructured Chaos and Structure
details methods to transform raw text (contracts, reports) into structured formats
