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Overview

The Community Features enable organizations to participate in a collaborative data-sharing ecosystem where anonymised project data is shared across the platform to provide industry benchmarking, similar project identification, and collective insights. This powerful feature transforms individual project data into valuable industry intelligence while maintaining strict data privacy and anonymisation.

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Key Benefits

  • Industry Benchmarking: Compare your projects against anonymised industry data
  • Similar Project Discovery: Find comparable projects from across the platform community
  • Collective Intelligence: Benefit from shared insights and best practices
  • Data Privacy: All shared data is completely anonymised and aggregated
  • Collaborative Analytics: Access to enhanced analytics through community participation
  • Market Intelligence: Understand industry trends and patterns

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Core Concepts

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Community Membership

Organisations can join communities to share and access collective project data:

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Membership Types

  • Contributors: Organisations that share their project data with the community
  • Members: Organisations that access community insights (may or may not contribute)
  • Administrators: Organisations that manage community settings and membership

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Data Sharing Levels

  • Full Contributors: Share all eligible project data for community analysis
  • Selective Contributors: Choose specific projects or data types to share
  • Non-Contributors: Access community insights without sharing data (limited access)

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Data Anonymisation

All community data sharing follows strict anonymisation protocols:

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Anonymised Data Points

  • Project Costs: Footprint costs, total costs, and cost breakdowns
  • Project Characteristics: Building function, process, site area, and floor area
  • Location Data: Generalised location information (not specific addresses)
  • Timeline Data: Contract dates and project duration
  • Building Features: Anonymised building characteristics and specifications

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Protected Information

  • Organisation Identity: Source organisations are never revealed
  • Project Names: Specific project identifiers are removed
  • Client Information: All client and stakeholder data is excluded
  • Sensitive Data: Confidential project details remain private

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Community Analytics

The platform provides powerful analytics based on community data:

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Similarity Scoring

  • Multi-Factor Analysis: Projects are compared across multiple dimensions
  • Building Function Matching: Match projects by building type and use
  • Process Alignment: Compare construction processes and methodologies
  • Feature Correlation: Advanced similarity scoring based on project characteristics
  • Cost Pattern Analysis: Identify projects with similar cost profiles

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Benchmarking Capabilities

Community data powers enhanced benchmarking features:
  • Cost Benchmarking: Compare project costs against similar community projects
  • Performance Metrics: Evaluate project performance against industry standards
  • Risk Analysis: Understand risk patterns across similar project types
  • Timeline Comparisons: Compare project schedules and completion rates

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Getting Started

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Joining a Community

1

Community Access

Contact your N3 administrator to request access to relevant communities for your organisation.
2

Review Data Sharing Policy

Understand what data will be shared and review your organisation’s data sharing policies.
3

Configure Sharing Settings

Choose your participation level: You can be a full contributor with all eligible projects or opt-out of sharing any data but have limited community benefits.
4

Enable Community Features

Your administrator will enable community features for your environment.
5

Access Community Analytics

Begin accessing similar project data and benchmarking insights.

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Understanding Similar Projects

The community feature provides sophisticated project matching based on multiple criteria:

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Matching Criteria

  • Building Function: Educational, residential, commercial, infrastructure
  • Building Process: New build, refurbishment, fit-out, extension
  • Project Scale: Similar size projects based on cost and area
  • Geographic Region: Projects from similar economic regions
  • Timeline: Projects from comparable time periods

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Similarity Scoring

Projects receive similarity scores based on:
  • Mandatory Matches: Must match building function and process
  • Feature Alignment: Additional building characteristics and specifications
  • Scale Compatibility: Comparable project size and complexity
  • Location Factors: Regional economic and market conditions