Name: DATA-DRIVEN CONSTRUCTION. Menavigasi era data di industri konstruksi
SKU: yz7x5
Availability: InStock

DATA-DRIVEN CONSTRUCTION. Menavigasi era data di industri konstruksi

UNTUK SIAPA BUKU INI DITUJUKAN

Ditulis dengan bahasa yang mudah dipahami, buku ini ditujukan untuk berbagai pembaca di industri konstruksi – mulai dari mahasiswa dan pemula yang ingin memahami dasar-dasar proses konstruksi modern hingga para profesional yang membutuhkan metodologi terkini untuk mengelola data dalam konstruksi. Apakah Anda seorang arsitek, insinyur, mandor, manajer konstruksi, atau analis data, panduan komprehensif dengan banyak ilustrasi dan grafik unik ini menawarkan wawasan berharga tentang cara menggunakan data dalam bisnis untuk mengoptimalkan dan mengotomatisasi proses, meningkatkan pengambilan keputusan, dan mengelola proyek konstruksi di berbagai tingkatan menggunakan alat modern.

Buku ini merupakan panduan komprehensif yang menggabungkan dasar-dasar teori dan rekomendasi praktis untuk mengintegrasikan teknik manajemen data ke dalam proses konstruksi. Buku ini berfokus pada penggunaan informasi secara strategis untuk mengoptimalkan operasi, mengotomatisasi proses, meningkatkan pengambilan keputusan, dan mengelola proyek secara efektif dengan menggunakan alat bantu digital modern.

Buku ini mencakup aspek teoretis dan praktis dalam bekerja dengan informasi di industri konstruksi. Melalui contoh-contoh terperinci, buku ini mengeksplorasi metodologi parameterisasi tugas, pengumpulan persyaratan, pemrosesan data tidak terstruktur dan multi-format, serta mentransformasikannya menjadi solusi yang efektif bagi perusahaan konstruksi.

Pembaca secara berurutan melewati jalan dari pembentukan persyaratan dan pengembangan model data dasar ke proses integrasi yang lebih kompleks dari sumber informasi heterogen, pembuatan ETL -proses, pembangunan informasi Pipeline dan model pembelajaran mesin. Pendekatan berurutan memungkinkan untuk menunjukkan dengan jelas mekanisme organisasi dan otomatisasi proses bisnis dan sistem pendukung keputusan dalam industri konstruksi. Setiap bagian dari buku ini diakhiri dengan bab praktis yang berisi petunjuk langkah demi langkah yang memungkinkan penerapan langsung pengetahuan yang diperoleh dalam proyek-proyek nyata.

SINOPSIS BAGIAN-BAGIAN DARI BUKU INI

Buku ini disusun berdasarkan konsep transformasi data dalam rantai nilai: mulai dari pengumpulan data dan jaminan kualitas hingga pemrosesan analitis dan penggalian solusi praktis yang berharga menggunakan alat dan metodologi modern.

Awal formulir

Bagian 1: Evolusi Digital dalam Konstruksi – menelusuri transformasi historis manajemen data dari tablet tanah liat ke sistem digital modern, menganalisis kemunculan sistem modular dan semakin pentingnya digitalisasi informasi dalam konteks revolusi industri.

Bagian 2: Tantangan Informasi untuk Industri Konstruksi – mengeksplorasi masalah fragmentasi data, ‘silo informasi’, dampak pendekatan HiPPO pada pengambilan keputusan dan keterbatasan format kepemilikan, menyarankan pertimbangan untuk beralih ke ekosistem AI dan LLM.

Bagian 3: Sistematisasi data dalam konstruksi – membentuk tipologi data konstruksi, menjelaskan metode pengorganisasiannya, integrasi dengan sistem korporat dan membahas pembentukan pusat kompetensi untuk standarisasi proses informasi.

Bagian 4: Jaminan Kualitas Data – mengungkapkan metodologi untuk mengubah informasi yang berbeda menjadi data yang berkualitas dan terstruktur, termasuk ekstraksi data dari berbagai sumber, validasi, dan pemodelan menggunakan LLM.

Bagian 5: Perhitungan Biaya dan Waktu – berkaitan dengan digitalisasi perhitungan biaya dan perencanaan, otomatisasi mendapatkan volume dari model CAD (BIM), teknologi pemodelan 4D-8D, dan perhitungan ESG proyek konstruksi.

Bagian 6: CAD dan BIM – menganalisis secara kritis evolusi teknologi desain, masalah interoperabilitas sistem, tren terhadap format data terbuka dan prospek penerapan kecerdasan buatan pada desain.

Bagian 7: Analisis Data dan Otomasi – melihat prinsip-prinsip visualisasi informasi, indikator kinerja utama, proses ETL, alat bantu orkestrasi alur kerja, dan penerapan model bahasa untuk mengotomatisasi tugas-tugas rutin.

Bagian 8: Penyimpanan dan Manajemen Data – mengeksplorasi format penyimpanan data, konsep data warehouse dan data lake, prinsip-prinsip manajemen data, dan pendekatan baru termasuk database vektor dan metodologi DataOps dan VectorOps.

Bagian 9: Big Data dan Pembelajaran Mesin – berfokus pada transisi menuju analisis objektif berdasarkan data historis, Internet of Things di lokasi konstruksi, dan penerapan algoritme pembelajaran mesin untuk memprediksi biaya dan jadwal proyek.

Bagian 10: Industri Konstruksi di Era Data Digital – menyajikan pandangan tentang masa depan industri konstruksi, menganalisis pergeseran dari analisis kausal ke analisis korelasi, konsep ‘Uberisasi’ konstruksi dan strategi transformasi digital.

$167.88

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.

Dr. Zulfikar Adamu

Associate Professor of Strategic IT in Construction | LSBU, UK

“Data is the new oil" as they say, so its prospectors or miners should have the right tools and mindset to extract value from this 21st century resource. The construction industry has for too long been on the slippery slope of "3D information" based processes, whereby project delivery is based on someone else's baked information (e.g. they already plotted the pie or bar chart) whereas the underlying "data" (e.g. the raw spreadsheet) is capable of delivering much more, especially because multi-data fusion and AI bring unlimited potentials. If you are delivering (or teaching/researching) construction, this book is your best - and so far only - resource for navigating the data-driven world we have found ourselves.

Jakob Hirn

CEO | Build Informed GmbH, and Initiator of the Innovation Forum "On Top With BIM"

Data Driven Construction vividly conveys the basics of information-based work with building data. A book that deals with information flows and fundamental economic concepts and thus sets itself apart from other BIM books, because it not only represents the perspective of a software manufacturer, but also tries to convey fundamental concepts. A book worth reading and seeing

Dr. Burkhard Talebitari

Freelance editor - including for the Journal: BIM | Ernst & Sohn since 2013

Boiko is the James Carville of IT - in the latter's much-quoted "It's the economy, stupid," only one word needs to be exchanged for this famous book. "It's the data, stupid." (And to find one's way in the data universe, a saying of the ancient Romans dating back to Greek is still valid today: "Navigare necesse est". The author navigates his readers through all the depths and shallows of the data ocean with a sure hand and an unwavering compass, not to mention a comprehensive historical approach and, last but not least, highly original graphics and a good sense of humor that is not only apparent at second glance. The international response to Boiko's book ranges from euphoric approval to rather bilious skepticism, which has done the second German edition of the book some good. Boiko is an original and undogmatic data thinker. He presents the reader with exciting insights and always courageous, even provocative theses that inspire further thought. Excellent medicine for the German disease of latent consensualism. Incidentally, the above Latin proverb has a complement: "vivere non est necesse." It does not apply to Boiko's approach to the world of data - data lives and its life is necessary, not to say crucial.

Markus Eiberger

Board Member | BIM Cluster Baden-Württemberg, Lecturer at Stuttgart University of Applied Sciences, Senior Pro-ject Manager and Deputy Branch Manager at Kon-struktionsgruppe Bauen

"Data-Driven Construction" by Artem Boiko is an impressive work that offers a solid foundation for the construction industry in times of constantly growing technologies and information possibilities. Boiko manages to present complex topics in an understandable way while also introducing visionary ideas. The book is a well-thought-out compendium that not only highlights current developments but also provides an outlook on future innovations. It comes highly recommended for anyone who wants to get to grips with data-driven construction planning and execution.

Ralph Montague

Director | ArcDox, Director | BIM Coordinators Summit, and Chair of the BIM National Mirror Committee at the National Standards Authority of Ireland

If "data is the new oil", we need to learn to define it, find it, mine it, refine it, to make it valuable. I've found the book DataDrivenConstruction very informative and insightful. The book provides a useful historical background and explains working with data in plain language. For those who are interested in digital transformation, it gives a good understanding of data - how it works, how it is structured and how it can be used.”

Dr. Michael Max Buehler

Professor of Construction Management | HTWG Konstanz, Co-Owner at GemeinWerk Ventures, and Independent Director at DevvStream

Artem Boiko's book is a milestone for the democratization of digitization in the construction industry - and a real game changer for small and medium-sized enterprises (SMEs). Particularly groundbreaking: by using modern open-source low-code and no-code tools, companies can already efficiently integrate data into their business processes and analyze it profitably - without any in-depth programming knowledge. This makes the expensive use of cumbersome commercial software packages redundant. This book is a call to action! It is a valuable guide for anyone who not only wants to understand the digital transformation in the construction industry, but also wants to actively shape it - pragmatically, efficiently and in a forward-looking way. Now is the time to work together to share this knowledge and sustainably increase the productivity of the construction industry.”

Martin Loureiro-Barrientos

BIM Coordinator | Populous, London

Probably the most interesting book of the last two years that I know of. Required reading to break free from the 'matrix' perpetuated by software vendors, this book delves into how emerging tools like artificial intelligence offer fresh opportunities for data management without extensive technical expertise, poised to revolutionize even the most antiquated sectors like construction.With flawless translation and mind-bending graphics, it's a must-read. Eagerly anticipating the sequel. Very good buy in my opinion...I will read it again and waiting for the second part!

Paul Ransley

PLU Systems Engineer | Transport for London (TfL)

I highly recommend Artem's book that addresses, as the title says, a data driven information management approach for AECO. I am currently using it to help initiate a number of discussions with various groups. I have found it a very accessible reference.As well as a thorough overview of the history context of tools in AECO, data and introducing several key technologies the book contains a number of very useful diagrams, that outline the scope of data sources and end user artefacts, common database types encountered, applications working on that data and output artefacts in organisations or projects, with sample workflows.It strikes me that these are the types of diagrams we need more of when developing and monitoring information strategies and contribute to BEP's - defining the overall enterprise data model onto which the boundary for a PIM and AIM can be overlaid.

Pierpaolo Vergati

Senior Construction Project Manager | Fintecna S.p.A., Rome

For anyone in the construction industry, from rookies to seasoned pros, this book is a game-changer! It's not your typical dusty read—it's packed with insights, strategies, and a touch of humor to keep you engaged. From ancient data recording methods to cutting-edge digital technologies, it covers the evolution of data usage in construction.🚘 ⏱️It's like taking a time machine through the evolution of construction data—minus the wonky flux capacitor.😁And shoutout to Artem Boiko , our "Doc E. Brown", for crafting this data-packed journey! 🌟Whether you're an architect, engineer, project manager or data analyst, this comprehensive guide will revolutionize the way you approach projects. Get ready to optimize processes, enhance decision-making, and manage projects like never before! 💼💡

(A review of the Italian version of the book "COSTRUZIONE BASATA SUI DATI. Navigare nell’era dei dati nel settore delle costruzioni")

Mikhail Kosarev

TIM-ASG | Digital transformation expert

📚 I read the book in one breath, in less than 6 hours. The presentation of information is as simple as possible, but for deep perception and coverage of the materials requires an expanded horizon of knowledge from the construction and IT industries. At 270 pages, a huge number of schemes. The manufacturing quality of the book is excellent, dense glossy paper, color schemes, a pleasant font.🏗 The content of the book allows you to look at construction project management from an information management perspective. Will broaden your horizons and understanding of modern digital technologies in construction. The large number of practical examples on how to work with ChatGPT specific to the construction industry will save you months, if not years, of self-study.💻 Work examples are very diverse, ranging from simple to complex, without requiring you to purchase complex and expensive software. The main focus is on open source software. In the book and about data analysis and programming, visualization of information. You will look at Excel and your computer in a different way.👨‍💼 The book will be especially useful for BIM specialists, IT specialists working or going to work in the construction industry. Digital ISU to take a new look at project management, to increase their efficiency. The book will allow owners of any business in the construction industry to take a fresh look at their business strategy, digitalization and development prospects. And for smaller companies to increase efficiency with affordable and free tools.📖 The book will be my go-to book for regular use for the next year until the PDF version comes out.

Dr. Salih Ofluoğlu

Antalya Bilim University | Dean, Faculty of Architecture

I think that the book addresses a significant, contemporary topic relevant to the construction industry. As it was also emphasized in the book, information is a crucial asset for the construction sector, and having it in accessible formats greatly facilitates accurate decision-making and expedites project timelines.The book offers a neutral and efficient approach to accessing and taking advantage of this source in decision-making. The methodology presented in the book leverages a contemporary approach that combines artificial intelligence-driven programming with accessible open-source tools.By harnessing the power of AI and utilizing open-source software, the methodology aims to enhance automation, optimize processes, and promote accessibility and collaboration within the field. The language of the book is clear and easy to follow.Congratulations on the quality work! I have enjoyed reading it. Wishing you continued success as well.

Moayad Saleh

BIM Manager | TMM GROUP Gesamtplanungs GmbH

Artem's book, "DATA DRIVEN CONSTRUCTION," is a game-changer for anyone curious about where the construction industry is headed in the age of data. Whether you're deeply involved in construction or simply intrigued by its evolution, this book offers a captivating exploration of how technology is reshaping the field.Artem doesn't just scratch the surface; he delves deep into the current developments, challenges, and promising opportunities in construction. What sets this book apart is its accessibility—Artem explains complex ideas using relatable analogies that make the content easy to grasp.I found the book to be incredibly informative yet engaging. It's clear that Artem has a profound understanding of both the industry and the transformative power of data analytics. His writing style is approachable yet authoritative, making "DATA DRIVEN CONSTRUCTION" a must-read for anyone looking to stay ahead in this rapidly changing landscape.In summary, Artem has crafted a valuable resource that not only informs but also inspires. Whether you're a seasoned professional or a newcomer to construction, this book will broaden your perspective and deepen your understanding of where the industry is heading. Highly recommended!

Isabella Deininger

CEO LBI Association | TU München

The "DATA-DRIVEN CONSTRUCTION" by Artem Boiko is a comprehensive work that fills a gap in the "modern" construction industry.It offers valuable insights into both the basics and advanced applications of data in construction. Artem also presents an interesting approach to handling data in construction and shows how it can be used. It is a successful presentation of the various possibilities that data can offer in construction and provides practical guidance and examples.As such, it is an absolute recommendation for anyone involved in the use of data in the construction industry.

Ihor Rogchew

Head of IMT Competence Center | RZD

At the moment, the degree of chaotic and oversaturated information in the construction industry has reached such a level that any specialist in the field of working with data would be horrified. But the problem is that builders have long been working in their own closed IT world and often come up with zoned existing approaches or directly ignoring the successful experience of working with data from other industries. Artem Boyko's work is one of the first steps beyond the boundaries of the usual world of builders, with their complex design and management systems, when, it would seem, the complexity and saturation of data does not even give a chance for radical simplification and increased transparency of work with construction data.In his book, Artem shows in simple language what opportunities modern technologies of working with data open before us, and literally gives concrete steps that you can immediately apply in your work. I urge everyone who wants to understand where automation systems will go in the construction industry to study this small book carefully in order to realize that the data revolution in construction is already knocking on our door.It's only of interest to geeks now, but in a few years, like BIM, such approaches and software will be ubiquitous!

Natasha Prinsloo

Digital Practice Lead | energylab UK

All I can say is, WOW! The way you incorporated history, ChatGPT, the graphics, and the overall ease of understanding your points is truly remarkable. The flow of the book is amazing.There are so many brilliant aspects to this book; it’s genuinely a game-changer. It’s a great source of information, and I commend you for the effort and passion you’ve put into it. Congratulations on creating such a remarkable work. I could go on, but suffice it to say, I’m incredibly impressed!

Kristijan Vilibić

Founder | Mastery of Digital

I found this book to be an eye-opener for anyone in the construction industry interested in modernizing their approach to data. What I appreciated the most was how it doesn’t assume you’re a tech expert—it’s written in a way that feels approachable, even if you're just starting out.The book connects the dots between technical concepts and real-world applications, like improving project schedules or estimating costs more accurately. The illustrations and graphs made complex ideas so much easier to understand.If you’re curious about how data can transform construction workflows or just want to stay ahead in this fast-evolving industry, this book is a fantastic guide. It felt practical, relevant, and relatable to my work.

Dr. Ediz Yazicioglu

Owner | ArchCube

I am a civil engineer. I have a PhD in project and construction management. As a civil engineer, in addition to the many construction projects I have realized, I have been involved in the development in the field of AEC since 1987, which Artem Boiko described in BIM history https://bigdataconstruction.com/history-of-bim/. In addition to representing Archtrion, Vectorworks software in Turkey, I have realized the Turkish localization of these software. In partnership with Bentley, I provided sales and training of Bentley's AEC solutions. I produced kitchen design and order automation software called ArchKitchen. In addition to world brands such as Arup, Bayer, Mercedes, Renault, Siemens, Franke, Teka, public institutions of my country and sector leading brands have become my customers. I have produced a lot of software in the field of AEC. When I review the book Data-Driven Construction with the knowledge and experience I have gained in my professional life of more than thirty-five years, I would like to say the following.I would like to start by saying that when you take the Data-Driven Construction book in your hand, you will feel its high quality with its print quality and binding. Most importantly, I should also say that Data-Driven Construction is worthy of being taught as a textbook in universities and is a book that will make valuable contributions to the developing BIM field. Data-Driven Construction contains a technical glossary that explains the concepts very well. The explanation of conceptual and technical terms adds value to the understanding of the text. I think it would be appropriate to develop these sections of the book as a technical glossary.Data-Driven Construction book is supported by visual narration. Topics that are extremely difficult to explain are made simple and understandable with a very beautiful visual language. I think that what is intended to be explained in the visuals should be expressed to the reader, even if briefly. The comprehensibility of some visuals, in other words, reading the visual requires separate information. The book Data-Driven Construction explains very well what is conceptually related to what with its historical background. I would like to suggest that in the development of the book, these narratives should be made comprehensive instead of being a summary.The book Data-Driven Construction has traces of Artem Boiko's education and software development experiences, which increases the gains of the reader. I think that it would be better to relate what is described in the book to Artem Boiko's education and software development with the links to be given and to increase the software examples in case-study style. I must say that the topics of the Data-Driven Construction book are very well structured. I think it would be useful to give information about software development tools in the parts of the book that will guide those who want to work in this field.I think it would be useful to have a section in the Data-Driven Construction book where existing software solutions on the subject are examined. For example, I think it would be useful to explain the operation of a system such as ERP and data relationships to the reader in a short understandable language. In the book Data-Driven Construction, many file and data sharing formats are mentioned. I think it would be useful to provide more detailed information about the content of these formats or to provide the reader with access to detailed information by referring to references.In the Data-Driven Construction book, I think that BIM standard setters such as BuildingSmart, BSI are introduced and the relationship between BIM standards and data should be given in more detail. For example, I think it is a necessity to explain the structure of IFC in the book in great detail.I think that how data is obtained from BIM model information should be exemplified in the book as in Artem Boiko's trainings. Finally, I must say that the Data-Driven Construction book is a very good study on the essence of the subject and each title is open to be developed more comprehensively. I would like to say a few words about Artem Boiko himself.In my PhD study, I argued that Revit-Dynamo software, a visual programming tool, can be used in the calculation of construction costs in an unconventional way. I must say that I am surprised that among the over 10.000 sources I examined for Cost Network Modeling, which I developed in my PhD, only Artem Boiko followed the same approach. I would also like to say that I am happy to introduce Artem Boiko's valuable work in my lectures and seminars at universities. I am happy to know Artem Boiko, a good and valuable person. I wish him continued success.

DATA-DRIVEN CONSTRUCTION. Menavigasi era data di industri konstruksi

UNTUK SIAPA BUKU INI DITUJUKAN

SINOPSIS BAGIAN-BAGIAN DARI BUKU INI

Additional information

UNLOCK THE POWER OF DATA IN CONSTRUCTION

WHY THIS BOOK?

Accessible to all

Practical Applications

Strategic Insight

Future-Ready

Have you attended one of our workshops, read our book, or used our solutions?

Related products

DATA-DRIVEN CONSTRUCTION. Navegando la Era de los Datos en la Industria de la Construcción

数据驱动建设 在建筑行业中穿越数据时代

データ駆動型建設. 建設業界におけるデータ時代のナビゲーション

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

Don't miss the new solutions

Looking for the Linux or MAC version? Send us a quick message using the button below, and we’ll guide you through the process!

📥 Download OnePager

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

🧰 Data-Driven Readiness Check

🚀 Goals and Pain Points

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

🎯 DDC Workshop That Solves Your Puzzle

Module 1 – Data Automation and Workflows in Construction:Overview of data sourcesExcel vs systemsTypical data flows in constructionFoundational data logic

Module 3 – Automated Data Processing Workflow:Setting up ETL workflowsCAD/BIM extractionAutomation in Excel/PDF reporting

Module 8 – Converting Unstructured CAD into Structured Formats From IFC/Revit to tablesGeometric vs semantic dataTools for parsing and transforming CAD models

Module 13 – Key Stages of Transformation Transformation roadmapChange managementRoles and responsibilitiesKPIs and success metrics

Module 8 – Integrating Diverse Data Systems and FormatsExcel, ERP, BIM integrationData connection and file exchangeStructuring hybrid pipelines

Module 7 – Automating Data Quality Assurance Processes Rules and checksDashboardsReport validationAutomated exception handling

Module 10 – Challenges of Digitalization in the Industry How to justify investment in dataStakeholder concernsROI examplesFailure 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.

UNLOCK THE POWER OF DATA
IN CONSTRUCTION

数据驱动建设在建筑行业中穿越数据时代

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

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