NCED Data
A structured data foundation for climate and ESG analysis
Mandatory climate reporting has shifted expectations. Organisations are now required to demonstrate a clear, evidence-based understanding of climate and ESG exposure.
The Data Challenge
In practice, most organisations operate with fragmented data that creates structural limitations for climate reporting and risk assessment.
- Disconnected datasets across customers, suppliers and assets
- Limited ability to link environmental risk to real-world business entities
- Static industry classifications that do not reflect current activity
- Inconsistent ESG and emissions data across sources
- Heavy reliance on manual collection, estimation and proxy models
What NCED Provides
The NCED addresses this challenge by delivering a standardised, entity-level dataset that connects:
- Business identity and structure
- Location and geographic context
- Industry classification based on current activity
- Physical risk indicators (e.g. flood, bushfire exposure)
- Transition risk signals across sectors
- ESG and emissions context where relevant
Delivery Options
Access NCED data in the format that best fits your infrastructure and use case.
API
Access
Integrate the NCED dynamically into applications and workflows.
- Query entity-level data in real time
- Retrieve risk indicators programmatically
- Embed climate and ESG data into decisioning systems
- Support automated and scalable use cases
Flat File
Delivery
Access structured datasets for internal processing.
- Bulk delivery across defined populations
- Suitable for onboarding and periodic refresh cycles
- Enables segmentation, modelling and enrichment
- Compatible with standard enterprise data pipelines
Data Warehouse
Integration
Access the NCED within your existing data infrastructure.
- Delivered into secure, scalable environments
- Query alongside internal datasets
- Support large-scale portfolio analysis
- Reduce ingestion and transformation overhead
What This Enables in Practice
With direct access to NCED, organisations can build sustainable climate and ESG capabilities:
- Build internal climate and ESG risk models
- Identify exposure across portfolios and supply chains
- Analyse concentration risk by geography and sector
- Support AASB S2-aligned reporting workflows
- Develop proprietary insights and segmentation strategies
- Reduce reliance on manual data collection and estimation
Data Design Principles
NCED is built to support enterprise use:
Standardised
Across populations
Scalable
Millions of entities
Consistent
Across reporting cycles
Auditable
For governance
Private Company Coverage
Most ESG and climate risk datasets were built for listed companies. NCED provides what global datasets don't: comprehensive coverage of Australian private companies.
This is extremely valuable for Scope 3 reporting, supplier mapping, SME risk assessment and lending portfolios where formal sustainability reporting may not exist.
Why Private Company Data Matters
- Scope 3 emissions sit within suppliers and contractors
- SMEs lack formal ESG reporting capability
- Supply chains depend on thousands of private businesses
- Lending portfolios need visibility over SME risk
- AASB S1 & S2 require value chain transparency
Data Dictionary
The NCED Data Dictionary provides a structured reference guide to the fields, variables, methodologies, and intelligence layers contained within the dataset.
Designed to support both technical and non-technical users, the dictionary helps organisations understand how data is structured, how specific indicators are derived, and how individual variables can be applied across operational, analytical, regulatory, and reporting use cases.
Categories Covered
- Commercial and entity-level attributes
- Industry and business activity classifications
- ESG and sustainability indicators
- Physical and transition climate risk variables
- Geographic and catastrophe-related signals
- Corporate structure and ownership fields
- Emissions and environmental modelling outputs
- Confidence, coverage, and derived intelligence measures