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171 The construction industry is entering an era of fundamental change. Conclusion
10 June 2025
173 Data-Driven Construction Glossary
10 June 2025

172 ABOUT THE AUTHOR

My name is Artem Boiko. My journey on the construction site started in 2007 – with a job as a miner at an oil shale mine, in my hometown, while studying at the Mining University, specializing in mine and underground construction. On the back cover of this book you can see an explosionist in the face where we mined and blasted hundreds of cubes of oil shale. My career has taken me in many different directions, from working as a mine and subway construction worker to industrial climber, roofing and elevator installer. I have had the honor of participating in projects of various scales: from construction of private houses to large industrial facilities in different regions of the world.

Over time, my work has shifted from physical construction to information management and digital processes. Since 2013, I have worked in various positions in small, medium and large construction companies in several regions of Germany, from planner to data management manager. As far as data management is concerned, my experience consists of working with data in various ERP systems, CAD (BIM), MEP, FEM, CMS. I have been involved in optimization, process automation as well as analysis, machine learning, data processing in the planning, calculation and execution phases of construction works in industrial, residential, infrastructure and utility construction companies.

I have been working with open source software and open data since 2003. During this time I have realized many web projects – from websites and online stores to full-fledged web applications using open source solutions and open CMS. These platforms, similar in many ways to modern building ERPs, have modular architecture, high adaptability and accessibility. This experience laid the foundation for my professional approach – a focus on open source technologies and a culture of collaborative development. Respect for open source and the free exchange of knowledge is something I strive to promote in the construction industry. My work to improve data accessibility in the construction industry has translated into the creation of several social media communities to discuss data openness and the use of Open Source in construction, as well as the launch of several startups developing solutions to provide access to data from various closed systems and platforms.

My contribution to the professional community is through participation as a speaker at conferences covering CAD interoperability (BIM), ERP, 4D-5D, LLM Machine Learning and Artificial Intelligence,as well as articles published in European construction industry publications. One of my notable achievements is the creation of the “History of BIM” (А. Boiko, “BIM History Map,” 2024), a comprehensive map of important software solutions for data management in the construction industry. My 7-part article series “BIM Development and Lobbying Games”, translated into several languages, has been widely recognized as an attempt to illuminate the hidden dynamics of digital standards.

This is how I went from mining rock – to mining and systematizing construction data. I am always open to professional dialog, new ideas and joint projects. I will gratefully accept any feedback and look forward to your messages or seeing you among my social media followers. Thank you so much for reading this book to the end! I would be happy if this book helps you better understand the topic of data in the construction industry.

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  • ALL THE CHAPTERS IN THIS PART
  • A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH (8)
  • CLASSIFICATION AND INTEGRATION: A COMMON LANGUAGE FOR CONSTRUCTION DATA (8)
  • DATA FLOW WITHOUT MANUAL EFFORT: WHY ETL (8)
  • DATA INFRASTRUCTURE: FROM STORAGE FORMATS TO DIGITAL REPOSITORIES (8)
  • DATA UNIFICATION AND STRUCTURING (7)
  • SYSTEMATIZATION OF REQUIREMENTS AND VALIDATION OF INFORMATION (7)
  • COST CALCULATIONS AND ESTIMATES FOR CONSTRUCTION PROJECTS (6)
  • EMERGENCE OF BIM-CONCEPTS IN THE CONSTRUCTION INDUSTRY (6)
  • MACHINE LEARNING AND PREDICTIONS (6)
  • BIG DATA AND ITS ANALYSIS (5)
  • DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING (5)
  • DATA CONVERSION INTO A STRUCTURED FORM (5)
  • DESIGN PARAMETERIZATION AND USE OF LLM FOR CAD OPERATION (5)
  • GEOMETRY IN CONSTRUCTION: FROM LINES TO CUBIC METERS (5)
  • LLM AND THEIR ROLE IN DATA PROCESSING AND BUSINESS PROCESSES (5)
  • ORCHESTRATION OF ETL AND WORKFLOWS: PRACTICAL SOLUTIONS (5)
  • SURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGE (5)
  • 4D-6D and Calculation of Carbon Dioxide Emissions (4)
  • CONSTRUCTION ERP AND PMIS SYSTEMS (4)
  • COST AND SCHEDULE FORECASTING USING MACHINE LEARNING (4)
  • DATA WAREHOUSE MANAGEMENT AND CHAOS PREVENTION (4)
  • EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY (4)
  • IDE WITH LLM SUPPORT AND FUTURE PROGRAMMING CHANGES (4)
  • QUANTITY TAKE-OFF AND AUTOMATIC CREATION OF ESTIMATES AND SCHEDULES (4)
  • THE DIGITAL REVOLUTION AND THE EXPLOSION OF DATA (4)
  • Uncategorized (4)
  • CLOSED PROJECT FORMATS AND INTEROPERABILITY ISSUES (3)
  • MANAGEMENT SYSTEMS IN CONSTRUCTION (3)
  • AUTOMATIC ETL CONVEYOR (PIPELINE) (2)

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057 Speed of decision making depends on data quality

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 on analytics, integration and process automation. However, the transition...

060 A common language of construction the role of classifiers in digital transformation

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 dictionaries” that ensure uniformity in the description and parameterization...

061 Masterformat, OmniClass, Uniclass and CoClass the evolution of classification systems

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 a particular time period (Fig. 4.2-8): First generation (early...

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172 ABOUT THE AUTHOR
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