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Ideal Workplace Solutions
NITA AccreditedIntermediatePhysical + Virtual10 daysOpLk

Training on BIM Data Management & Analytics

Gain skills in BIM data analytics and management. Learn to audit models, ensure data quality, and make data-driven decisions in construction and digital delivery.  

Next intake

20 Jul 2026 · Nakuru

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Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Intermediate

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

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

  • BIM Managers and Coordinators

  • Data Analysts in Construction

  • Architects and Engineers using BIM

  • Project Managers and Technical Leads

  • Quality Assurance Professionals

  • Digital Delivery and Information Managers

  • Construction Technology Specialists

Learning outcomes

What you'll walk away with

By the end of this course, participants will be able to:

  • Perform data extraction and analyze BIM model data for insights

  • Apply data governance principles to BIM workflows

  • Conduct information auditing for BIM models to ensure compliance and accuracy

  • Ensure data quality in BIM projects through validation tools and workflows

  • Leverage BIM analytics for data-driven decisions in construction and facility management

Course modules

What we cover, module by module

Module 1: Introduction to BIM Data Management

  • BIM data lifecycle and information management roles
  • BIM standards (IFC, COBie, ISO 19650)
  • Overview of BIM data analysis in projects
  • Case Study: ISO 19650 adoption in a major infrastructure project
  • Practical: Map BIM data lifecycle stages in a sample project model

Module 2: Data Structuring and Classification in BIM

  • Classification systems: Uniclass, Omniclass, MasterFormat
  • BIM object attributes and data schemas
  • Data structuring for coordination
  • Case Study: Uniclass application in hospital design projects
  • Practical: Classify elements in a BIM model using standard systems

Module 3: Data Quality Assurance in BIM Projects

  • BIM data quality principles and common errors
  • Data validation, cleaning, and standardization
  • QA/QC workflows in BIM delivery
  • Case Study: Project delays caused by poor BIM data quality
  • Practical: Identify and correct errors in a sample BIM dataset

Module 4: BIM Model Auditing and Compliance Checking

  • Rule-based model checking and auditing
  • Tools: Solibri, Navisworks, BIMCollab
  • Compliance with EIRs and standards
  • Case Study: BIM audit failures in a high-rise project
  • Practical: Run a mock compliance check on a sample model

Module 5: Common Data Environment (CDE) Management

  • Setting up and managing CDE platforms
  • Version control, permissions, audit trails
  • Collaboration workflows
  • Case Study: CDE success in a multi-stakeholder mega project
  • Practical: Simulate document workflows and version control

Module 6: BIM Data Extraction and Visualization

  • Extracting BIM data (Revit, Dynamo, Power BI)
  • Visualization techniques for stakeholders
  • Dashboard creation for project tracking
  • Case Study: BIM dashboards used in stadium construction monitoring
  • Practical: Build a simple BIM data dashboard using sample data

Module 7: Data-Driven Project Insights Using BIM

  • Progress tracking using BIM data
  • 4D (time) and 5D (cost) BIM integration
  • Performance reporting
  • Case Study: 4D BIM reducing delays in infrastructure projects
  • Practical: Link BIM elements to a construction timeline

Module 8: Predictive Analytics and AI in BIM

  • AI/ML applications in construction analytics
  • Risk prediction and clash detection
  • Real-time data integration
  • Case Study: AI-driven clash detection in large construction projects
  • Practical: Identify risks using a simulated BIM dataset

Module 9: BIM Data Governance and Security

  • BIM Execution Plans (BEP) and governance frameworks
  • Data security, access control, and compliance
  • Legal ownership of BIM data
  • Case Study: Data breach in a global construction project
  • Practical: Create a BIM data governance checklist

Module 10: Capstone Project & BIM Data Strategy Development

  • End-to-end BIM data management strategy design
  • Dashboard development and reporting
  • Governance and analytics integration
  • Case Study: Smart city BIM data integration project
  • Practical: Develop a full BIM data audit, dashboard, and strategy framework

  • Course review and action plan development

Impact

Where the change lands

Personal Impact

  • Strengthens BIM data and analytics skills for better project decision-making
  • Improves digital literacy and employability in smart infrastructure roles
  • Enhances ability to interpret and use BIM data effectively

Organizational Impact

  • Improves project coordination, accuracy, and efficiency
  • Supports data-driven planning and reduced project risks
  • Strengthens digital transformation and smart infrastructure delivery

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

To teach you how to unlock and analyze the vast amount of data within a BIM model. You'll learn to make data-driven decisions that improve project performance.

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Course finder

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For corporate teams

Training 10+ professionals?

We deliver Training on BIM Data Management & Analytics in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.

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