Course Overview
This 10-day course provides a comprehensive foundation in managing, auditing, and analyzing Building Information Modeling (BIM) data to support better decision-making and enhance project delivery. Participants will learn how to ensure data quality, extract actionable insights from BIM models, and implement data governance strategies. Through hands-on sessions, case studies, and tools exploration, attendees will build competencies in BIM data structuring, model auditing, and applying analytics to drive performance in design, construction, and asset management.
Duration
10 Days
Who Should Attend
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BIM Managers and Coordinators
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Data Analysts in Construction
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Architects and Engineers using BIM
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Project Managers and Technical Leads
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Quality Assurance Professionals
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Digital Delivery and Information Managers
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Construction Technology Specialists
Course Level: Intermediate to Advanced
Learning Objectives
By the end of this course, participants will be able to:
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Perform data extraction and analyze BIM model data for insights
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Apply data governance principles to BIM workflows
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Conduct information auditing for BIM models to ensure compliance and accuracy
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Ensure data quality in BIM projects through validation tools and workflows
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Leverage BIM analytics for data-driven decisions in construction and facility management
Course Outline
Module 1: Introduction to BIM Data Management
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Key principles of BIM data lifecycle and data roles
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BIM standards for data exchange (IFC, COBie, ISO 19650)
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Overview of analyzing BIM model data
Module 2: Data Structuring and Classification in BIM Models
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Classification systems: Uniclass, Omniclass, MasterFormat
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Model element attributes and data schemas
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Data layering for multidisciplinary coordination
Module 3: Ensuring Data Quality in BIM Projects
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Data quality in BIM projects and common issues
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Techniques for validating and cleaning model data
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QA/QC workflows for design and construction BIM models
Module 4: BIM Model Auditing and Compliance Checking
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Information auditing for BIM models using rule-based systems
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Automated model checking tools (Solibri, Navisworks, BIMCollab)
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Verifying adherence to employer information requirements (EIRs)
Module 5: Common Data Environment (CDE) Management
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Setting up and managing CDEs for centralized BIM data
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Permissions, version control, and audit trails
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Real-time collaboration and document workflows
Module 6: Data Extraction and Visualization
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Tools for extracting BIM data (Revit schedules, Power BI, Dynamo)
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Visualization of BIM analytics for non-technical stakeholders
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Data dashboards for tracking project metrics
Module 7: Using BIM Data for Project Insights
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Using BIM data for project insights and progress monitoring
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Connecting BIM with cost and schedule data (5D and 4D BIM)
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Performance metrics and reporting
Module 8: Predictive Analytics and AI in BIM
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Introduction to predictive modeling in construction
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AI/ML tools for issue detection and forecasting risks
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Integrating real-time data for facility analytics
Module 9: Data Governance and Security in BIM
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Establishing BIM execution plans with clear data protocols
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Cybersecurity and access control for BIM systems
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Legal considerations around BIM data ownership and usage
Module 10: Final Project – Building a Data Strategy for BIM Projects
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Group activity: BIM data audit and strategy development
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Presentation of dashboards and insights
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Course review and action plan development
Customized Training
This training can be tailored to your institution needs and delivered at a location of your choice upon request.
Requirements
Participants need to be proficient in English.
Training Fee
The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.
Certification
A certificate from Ideal Workplace Solutions is awarded upon successful completion.
Accommodation
Accommodation can be arranged upon request. Contact via email for reservations.
Payment
Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.
For further inquiries, please contact us on details below:
