Dive into the Code
Every week, fresh solutions are released through our social channels
Don't miss the new solutions
Facing Issues? Reach Out!
Offer support for any troubleshooting or advanced use-cases
2 August 2023
Install Jupyter Notebook
Change language
Post's Highlights
Stay updated: news and insights
We’re Here to Help
Fresh solutions are released through our social channels
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.
Related posts
Focus Areas
- XML
- Workflow
- Work Schedules
- Word
- Windows
- VR
- Visualization Techniques
- Visualization
- Verification
- value
- Validation
- USD
- Unity
- unification
- trend
- transformation
- traceability
- tool
- Timeline
- text
- taxonomy
- task
- Tables
- table
- system
- Sustainability
- structure
- storage
- standardization
- sql
- SPARQL
- source
- software
- Sharepoint
- sensor
- scheduling
- scenario
- rvt converter
- role
- risk
- revit to xlsx
- revit to excel
- revit
- resource
- report
- record
- real-time
- RDF
- RAG
- query
- Quantification
- QTO
- python
- Project Versions
- Project Integration
- Project Collaboration
- project
- procurement
- process
- prediction
- Point Clouds
- PNG
- platform
- planning
- pipeline
- performance
- parsing
- Pandas
- orchestration
- operation
- OpenBIM
- ontology
- Omniverse
- numpy
- noBIM
- NLP
- NiFi
- neural
- network
- MySQL
- monitor
- modeling
- model
- ML
- mesh
- Merging Workflows
- manager
- management
- machine
- logistics
- logic
- log
- loading
- llm
- linking
- learning
- langchain
- label
- KPI
- JSON
- JPEG
- Interoperability
- interface
- intelligence
- Integration
- input
- information
- Image
- IFC Integration
- IFC Converter
- ifc convert
- IFC
- Graph Chart
- graph
- Geometry
- framework
- format
- Forecasting
- feedback
- extraction
- Excel
- evaluation
- etl
- Estimation
- ERP
- Environmental Impact
- entity
- engineer
- dwg to excel
- dwg export to excel
- dwg converter
- dwg
- drawings
- digitalization
- Digital Modeling
- digital
- DGN
- devops
- design
- deep
- decision
- dataset
- Database
- Data Visualization
- Data Validation
- data mining
- Data Interoperability
- Data Frames
- Data Format Conversion
- Data Extraction
- Data Export
- Data Conversion
- Data Analytics
- data
- Dashboard
- CSV
- Cost Calculations
- cost
- correlation
- converter
- Conversion
- consultant
- Construction Simulation
- Construction Projects
- Construction Models
- Construction
- Comparison
- Communication
- CO2 Footprint
- ClosedBIM
- ChatGPT
- Charting Techniques
- calculation
- cad
- Budgeting
- Bounding Box
- BlenderBIM
- BIM
- Big Data
- Bentley
- Batch Processing
- batch
- automation
- Autodesk
- AutoCAD
- Audit
- attribute
- assistant
- asset
- architecture
- application
- API
- Analytics
- analyst
- algorithm
- AI
- accuracy
- 6D
- 5D
- 4D
- 3D Scanning
- 3D Printing
Search
architectureassetBIG DATA AND ITS ANALYSISdecisioninformationInteroperabilitylearningnetworkNiFirecordrisk
150 IoT Internet of Things and Smart Contracts
IoT The Internet of Things represents a new wave of digital transformation in which every device gets its own IP address and becomes part of a global network. IoT is a concept that involves connecting...
AIAnalyticsapplicationcostForecastinginformationintelligencelearningMACHINE LEARNING AND PREDICTIONSrisksource
151 Machine learning and artificial intelligence will change the way we build
The databases of the various systems in the construction business – with their inevitably decaying and increasingly complex infrastructure – are becoming a breeding ground for future solutions. Company servers, like a forest, are rich...
152 From subjective assessment to statistical forecast
The era when strategic decisions depended on the intuition of individual managers (Fig. 9.2-4) is a thing of the past. In an increasingly competitive and challenging economic environment, a subjective approach is becoming too risky...
153 Titanic dataset Hello World in the world of analytics data and big data
One of the most famous examples of using ML in data analytics is the analysis of the Titanic dataset, which is often used to study the probability of survival of passengers. Studying this table is...
AnalyticsCSVdecisiondesignformatinformationlearningMACHINE LEARNING AND PREDICTIONSplatformrisktable
154 Machine learning in action from Titanic passengers to project management
The main hypothesis used to explore the machine learning framework based on the Titanic dataset is that certain groups of passengers had a higher chance of survival. The small table of Titanic passengers has become...
accuracyalgorithmcalculationcostinformationinputlearningmachineMACHINE LEARNING AND PREDICTIONSmodelprediction
155 Predictions and forecasts based on historical data
The data collected on the company’s projects opens up the possibility of building models capable of predicting the cost and time characteristics of future, not yet realized objects – without time-consuming manual calculations and comparisons....
AnalyticsapplicationcostdecisionForecastinginputintelligencelearningMACHINE LEARNING AND PREDICTIONSprocessstructure
156 Key concepts of machine learning
Machine learning is not magic, it’s just math, data and finding patterns. It has no real intelligence, but is a program trained on data to recognize patterns and make decisions without constant human involvement. Machine...
costCOST AND SCHEDULE FORECASTING USING MACHINE LEARNINGdecisioninformationinputlearningplanningprocurementriskstructuretransformation
157 An example of using machine learning to find project cost and schedule
Estimation of construction time and cost is one of the key processes in the activities of a construction company. Traditionally, such estimates are made by experts based on experience, reference books and regulatory databases. However,...
costCOST AND SCHEDULE FORECASTING USING MACHINE LEARNINGformatinputlearningmachinepredictionprocesstabletexttool
158 Project cost and time prediction using linear regression
Linear regression is a fundamental data analysis algorithm that predicts the value of a variable based on a linear relationship with one or more other variables. This model assumes that there is a direct linear...
accuracycostCOST AND SCHEDULE FORECASTING USING MACHINE LEARNINGdecisioninputlearningmachinemodelpredictionprocesstool
159 Project cost and time predictions using the K-nearest neighbor algorithm (k-NN)
We use the k-Nearest Neighbors (k-NN) algorithm as an additional predictor to estimate the cost and duration of a new project. The K-Nearest Neighbors (k-NN) algorithm is a supervised machine learning (supervised machine learning) method...
accuracyAnalyticsassetCOST AND SCHEDULE FORECASTING USING MACHINE LEARNINGCSVdecisionForecastinginformationlearningprocesspython
160 Next steps from storage to analysis and forecasting
Modern approaches to working with data are beginning to change decision-making in the construction industry. Moving from intuitive assessments to objective data analysis not only improves accuracy, but also opens up new opportunities for process...
AIAnalyticsarchitectureassetdesigndigitalizationinformationintelligencelearningSURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGEtransformation
161 Correlations instead of calculations the future of construction analytics
Due to the rapid digitalization of information (Fig. 1.1-5), modern construction is undergoing a fundamental transformation where data is becoming not just a tool but a strategic asset that can fundamentally change traditional approaches to...
AIanalystarchitecturedecisiondesignintelligencelearningNiFistructureSURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGEtransformation
162 Data-driven approach in construction a new level of infrastructure
In the history of mankind, each such technological leap has brought fundamental changes to the economy and society. Today, we are witnessing a new wave of transformation comparable in scale to the industrial revolution of...
AIAnalyticsarchitectureassetcostdesigninformationlearningsourceSURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGEtransformation
163 The next-generation digital office how AI is changing the workspace
Almost a century ago, mankind was already experiencing a similar technological revolution. The transition from steam engines to electric motors took more than four decades, but ultimately catalyzed an unprecedented increase in productivity – primarily...
AnalyticsassetcostdesigndigitalizationForecastinginformationlearningmanagerreportSURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGE
164 Open data and Uberization is a threat to the existing construction business
Construction is becoming an information management process. The more accurate, quality and complete the data, the more efficient the design, calculations, cost estimates, erection and operation of buildings. In the future, the key resource will...
AnalyticsdesigndigitalizationformatinformationlearningplatformriskstructureSURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGEtable
165 Unresolved problems of uberization as last chance to use time for transformation
But let’s return to the realities of the construction industry. While self-driving cars, decentralized financial systems and artificial intelligence-based solutions are emerging in some sectors of the economy, a significant part of construction companies still...
A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACHAIdecisioninformationintelligencelearningperformancerisktooltransformationtrend
166 From Theory to Practice A Roadmap for Digital Transformation in Construction
The construction industry is gradually entering a new phase of development, where familiar processes are increasingly being supplemented – and sometimes even replaced – by digital platforms and transparent interaction models. This presents companies not...
A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACHAPIAuditconsultantdigitalizationformatinformationmanagerPandasplatformstructure
167 Laying the Digital Foundation 1-5 Steps to Digital Maturity
In this chapter, we look at the digital transformation roadmap and identify the key steps required to implement a data-driven approach that can help transform both the corporate culture and the company’s information ecosystem. Fig....
A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACHAICSVdesignInteroperabilityJSONlearningmanagerNiFiscenariosensor
168 Unlocking the potential of data 5-10 steps to digital maturity
In addition to technical integration, an important factor in the successful implementation of digital solutions is their adoption by end users. Engaging customers or users in performance measurement is both a challenge of improving user...
A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACHAnalyticsAuditdecisiondigitalizationfeedbackForecastinginformationlearningsourcetransformation
169 Transformation roadmap from chaos to data-driven company
The following plan can serve as an initial benchmark – a starting point for shaping your own data-driven digital transformation strategy: Audit and standards: analyze current state, unify data Data structuring and classification: automate the...
A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACHAnalyticsassetcostinformationinterfacelearningrisksourcetraceabilityVerification
170 Building in Industry 5.0 How to make money when you can’t hide anymore
For a long time, construction companies have been making money on non-transparent processes. The main business model was speculation – overestimating the cost of materials, scope of work and percentage mark-ups in closed ERP –...
A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACHAnalyticsapplicationarchitectureForecastinginformationlearningprocessstandardizationtraceabilitytransformation
171 The construction industry is entering an era of fundamental change. Conclusion
The construction industry is entering an era of fundamental change. From the first records on clay tablets to the massive amounts of digital data flowing from project servers and construction sites, the history of information...
A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACHarchitectureERPfeedbackinformationintelligenceInteroperabilitylearningmanagerplanningsource
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,...
A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACHAIdesigndevopsInteroperabilityJSONlearningNiFiontologyqueryTimeline
173 Data-Driven Construction Glossary
AI (Artificial Intelligence) – Artificial intelligence; the ability of computer systems to perform tasks that normally require human intelligence, such as pattern recognition, learning, and decision making. Apache Airflow is an open source workflow orchestration...
