DATA-DRIVEN CONSTRUCTION. Navigating the data age in the construction industry

FOR WHOM THIS BOOK IS FOR

Written in accessible language, this book is aimed at a wide range of readers in the construction industry, from students and novices who want to grasp the basics of modern construction processes to professionals who need an up-to-date methodology for managing data in construction. Whether you are an architect, engineer, foreman, construction manager, or data analyst, this comprehensive guide with many unique illustrations and charts offers valuable insights on how to use data in business to optimize and automate processes, improve decision-making, and manage construction projects at different levels using modern tools

The book is a comprehensive guide that combines theoretical foundations and practical recommendations for integrating data management techniques into construction processes. The book focuses on the strategic use of information to optimize operations, automate processes, improve decision-making and effectively manage projects using modern digital tools.

This book covers theoretical and practical aspects of working with information in the construction industry. Through detailed examples, it explores the methodology of task parameterization, requirements gathering, processing unstructured and multiformat data and transforming it into effective solutions for construction companies.

The reader successively passes the way from the formation of requirements and development of basic data models to more complex processes of integration of heterogeneous sources of information, creation of ETL -processes, construction of information Pipeline and machine learning models. The sequential approach allows you to clearly demonstrate the mechanisms of organization and automation of business processes and decision support systems in the construction industry. Each part of the book concludes with a practical chapter containing step-by-step instructions that enable immediate application of the acquired knowledge in real projects.

SUMMARIZED DESCRIPTION OF PARTS OF THE BOOK

This book is organized around the concept of transforming data in the value chain: from data collection and quality assurance to analytical processing and extracting valuable practical solutions using modern tools and methodologies.

Beginning of the form

Part 1: Digital Evolution in Construction – Traces the historical transformation of data management from clay tablets to modern digital systems, analyzing the emergence of modular systems and the growing importance of information digitalization in the context of industrial revolutions.

Part 2: Information Challenges for the Construction Industry – explores the problems of data fragmentation, ‘information silos’, the impact of the HiPPO approach on decision making and the limitations of proprietary formats, suggesting consideration of the move to AI and LLM ecosystems.

Part 3: Data Systematization in Construction – forms a typology of construction data, describes methods of its organization, integration with corporate systems and discusses the creation of competence centers for standardization of information processes.

Part 4: Data Quality Assurance – reveals methodologies for turning disparate information into quality, structured data, including data extraction from various sources, validation, and modeling using LLM.

Part 5: Cost and Time Calculations – covers digitalization of cost and scheduling calculations, automation of obtaining volumes from CAD (BIM) models, 4D-8D modeling technologies, and ESG calculations for construction projects.

Part 6: CAD and BIM – Critically analyzes the evolution of design technologies, system interoperability issues, trends toward open data formats, and the prospects for applying artificial intelligence to design.

Part 7: Data Analytics and Automation – examines the principles of information visualization, key performance indicators, ETL processes, workflow orchestration tools, and the application of language models to automate routine tasks.

Part 8: Data Storage and Management – explores data storage formats, data warehouse and data lake concepts, data management principles, and new approaches including vector databases and the DataOps and VectorOps methodologies.

Part 9: Big Data and Machine Learning – focuses on the transition to objective analysis based on historical data, the Internet of Things on construction sites, and the application of machine learning algorithms to predict project costs and timelines.

Part 10: The Construction Industry in the Age of Digital Data – presents a look at the future of the construction industry, analyzing the shift from causal analysis to working with correlations, the concept of “Uberizing” construction, and strategies for digital transformation.

$167.42

Additional information

UNLOCK THE POWER OF DATA
 IN CONSTRUCTION

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.


WHY THIS BOOK?

Accessible to all

Whether you are a student, architect, engineer? foreman or construction manager, the book's plain language and visual approach will make complex concepts easy to understand.

Practical Applications

Learn to apply theory through ChatGPT, developing real-world solutions without deep dives into complex programming.

Strategic Insight

Learn how to use data as a strategic asset, optimizing processes, improving decision making, and managing projects more effectively.

Future-Ready

Explore the latest trends in data processing, automation, machine learning, and predictive modeling to stay ahead in the industry.

Don't miss the new solutions

 

 

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📥 Download OnePager

Welcome to DataDrivenConstruction—where data meets innovation in the construction industry. Our One-Pager offers a concise overview of how our data-driven solutions can transform your projects, enhance efficiency, and drive sustainable growth. 

🚀 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!

DataDrivenConstruction offers workshops tested and practiced on global leaders in the construction industry to help your team navigate and leverage the power of data and artificial intelligence in your company's decision making.

Reserve your spot now to rethink your
approach to decision making!

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🚀 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!

Have a question or need more information? Reach out to us directly!
Schedule a time to discuss your needs with our team.
Tailored sessions to help your team grow — let's plan together!
Have you attended one of our workshops, read our book, or used our solutions? Share your thoughts with us!
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Data Maturity Diagnostics

🧰 Data-Driven Readiness Check

This short assessment will help you identify your company's data management pain points and offer solutions to improve project efficiency. It takes only 1–2 minutes to complete and you will receive personalized recommendations tailored to your needs.

🚀 Goals and Pain Points

What are your biggest obstacles today — and your goals for the next 6 months? We’ll use your answers to build a personalized roadmap.

Build your automation pipeline

 Understand and organize your data

Automate your key process

Define a digital strategy

Move from CAD (BIM) to databases and analytics

Combine BIM, ERP and Excel

Convince leadership to invest in data

📘  What to Read in Data-Driven Construction Guidebook

Chapters 1.2, 4.1–4.3 – Technologies, Data Conversion, Structuring, Modeling:

  • Centralized vs fragmented data

  • Principles of data structure

  • Roles of Excel, DWH, and databases

Chapters 5.2, 7.2 – QTO Automation, ETL with Python:

  • Data filtering and grouping

  • Automating QTO and quantity takeoff

  • Python scripts and ETL logic

Chapter 10.2 – Roadmap for Digital Transformation:

  • Strategic stages of digital change

  • Organizational setup

  • Prioritization and execution paths

Chapters 4.1, 8.1–8.2 – From CAD (BIM) to Storage & Analytics:

  • Translating Revit/IFC to structured tables

  • BIM as a database

  • Building analytical backends

Chapters 7.3, 10.2 – Building ETL Pipelines + Strategic Integration:

  • Combining Excel, BIM, ERP

  • Automating flows between tools

  • Connecting scattered data sources

Chapters 7.3, 7.4 – ETL Pipelines and Orchestration (Airflow, n8n):

  • Building pipelines

  • Scheduling jobs

  • Using tools like Airflow or n8n to control the flow 

Chapters 2.1, 10.1 – Fragmentation, ROI, Survival Strategy:

  • Hidden costs of bad data

  • Risk of inaction

  • ROI of data initiatives

  • Convincing stakeholders

Download the DDC Guidebook for Free

 

 

🎯 DDC Workshop That Solves Your Puzzle

Module 1 – Data Automation and Workflows in Construction:
  • Overview of data sources
  • Excel vs systems
  • Typical data flows in construction
  • Foundational data logic

Module 3 – Automated Data Processing Workflow:
  • Setting up ETL workflows
  • CAD/BIM extraction
  • Automation in Excel/PDF reporting

Module 8 – Converting Unstructured CAD into Structured Formats 
  • From IFC/Revit to tables
  • Geometric vs semantic data
  • Tools for parsing and transforming CAD models

Module 13 – Key Stages of Transformation 
  • Transformation roadmap
  • Change management
  • Roles and responsibilities
  • KPIs and success metrics

Module 8 – Integrating Diverse Data Systems and Formats
  • Excel, ERP, BIM integration
  • Data connection and file exchange
  • Structuring hybrid pipelines

Module 7 – Automating Data Quality Assurance Processes 
  • Rules and checks
  • Dashboards
  • Report validation
  • Automated exception handling

Module 10 – Challenges of Digitalization in the Industry 
  • How to justify investment in data
  • Stakeholder concerns
  • ROI examples
  • Failure risks

💬 Individual Consultation – What We'll Discuss

Audit of your data landscape 

We'll review how data is stored and shared in your company and identify key improvement areas.

Select a process for automation 

We'll pick one process in your company that can be automated and outline a step-by-step plan.

Strategic roadmap planning 

Together we’ll map your digital transformation priorities and build a realistic roadmap.

CAD (BIM) - IFC/Revit model review 

We'll review your Revit/IFC/DWG data and show how to convert it into clean, structured datasets.

Mapping integrations across tools 

We’ll identify your main data sources and define how they could be connected into one workflow.

Plan a pilot pipeline (PoC) 

We'll plan a pilot pipeline: where to start, what tools to use, and what benefits to expect.

ROI and stakeholder alignment 

📬 Get Your Personalized Report and Next Steps

You’ve just taken the first step toward clarity. But here’s the uncomfortable truth: 🚨 Most companies lose time and money every week because they don't know what their data is hiding. Missed deadlines, incorrect reports, disconnected teams — all symptoms of a silent data chaos that gets worse the longer it's ignored.

Please enter your contact details so we can send you your customized recommendations and next-step options tailored to your goals.

💡 What you’ll get next:

  • A tailored action plan based on your answers

  • A list of tools and strategies to fix what’s slowing you down

  • An invite to a free 1:1 session to discuss your case

  • And if you choose: a prototype (PoC) to show how your process could be automated — fast.

DATA-DRIVEN CONSTRUCTION. Navigating the data age  in the construction industry
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