The Problem
There is no consistent, reliable view of what businesses actually do
Industry classification is not a formally governed or consistently maintained dataset. There is no mandated requirement for companies to submit or maintain an accurate industry code, and no centralised mechanism to ensure classifications remain current as businesses evolve.
This is not a data issue - it's a structural gap
Industry classification underpins critical decisions across financial services, insurance, government and enterprise. Yet in practice, most organisations operate without a reliable, standardised view of the industries their customers, counterparties or suppliers actually operate within.
This creates a foundational weakness across risk models, segmentation strategies and regulatory reporting frameworks.
Where it breaks down
No Standardised Source of Truth
There is no single, trusted dataset that provides a consistent view of industry classification across the Australian market. Existing sources vary in quality, coverage and methodology, creating fragmentation across systems.
Static Data in a Dynamic Economy
Where classifications do exist, they are typically assigned once and rarely updated. Businesses evolve continuously, but the data used to describe them does not.
Single-Code Limitation
Most classification systems assume a business operates within one industry. In reality, many companies operate across multiple revenue streams, supply chains and activities simultaneously.
Lack of Explainability
Traditional datasets provide little or no transparency into how a classification has been derived. This makes it difficult to validate, challenge or rely on outputs in regulated environments.
The result is a market operating without a reliable foundation for understanding business activity at scale.