Regulatory Canonical Data Platform

Trusted regulatory data,
by design.

Standardise fragmented enterprise data into governed canonical models that support regulatory reporting, audit readiness and digital trust.

One canonical model
Full data lineage
AI-ready by default
Canonical Models
Data Dictionary
Quality & Validation
Lineage & Traceability
Secure APIs
Executive Analytics
The Fragmentation Problem

Standardise:
One Regulatory Language Across the Enterprise

Regulatory information is distributed across multiple business systems, applications and departments, each using different data structures, definitions and standards. That fragmentation creates inconsistent reporting, duplicate data, complex integrations and limited confidence in regulatory decision-making.

Canonical models across systems, functions and obligations

A single trusted view

Disparate data transformed into standardised, governed canonical data models.

Quality and consistency

Validation and standardisation applied before data reaches a regulatory report.

Consistent everywhere

The same definitions across business functions, technology platforms and obligations.

Establish a single source of truth for regulatory data.

Reduce duplication and reconciliation across systems while strengthening governance.

More Than a Repository

Foundation:
The Trusted Data Modern Governance Depends On

AI systems rely on trusted data to make responsible decisions. Regulatory reporting depends on consistent and accurate information. Executives require reliable intelligence to monitor organisational risk, compliance performance and customer outcomes.

Governed inputs so AI systems make defensible, explainable decisions.

Consistent, traceable data behind every submission and return.

Lineage and traceability that stand up to internal audit and supervisory scrutiny.

Reliable analytics for risk, compliance performance and customer outcomes.

Traceable to source

Every figure can be traced back through its full lineage.

Less reconciliation

Duplication and manual reconciliation across systems drop away.

Governed by design

Governance embedded in the data itself, not bolted on downstream.

Governance embedded in the data itself.

Produce accurate reports, support compliance monitoring and improve audit readiness from one governed foundation.

Key Capabilities

Capability:
From Raw Data to Regulatory Evidence

A complete regulatory data service layer, from canonical modelling through to secure enterprise APIs.

Regulatory Canonical Data Models
Enterprise Regulatory Data Dictionary
Data Standardisation & Transformation
Data Quality & Validation
Master Regulatory Data Management
Regulatory Data Lineage & Traceability
Regulatory Data Integration
Regulatory Reporting Data Services
AI-Ready Trusted Data
Audit & Regulatory Evidence
Executive Intelligence & Analytics
Secure APIs for Enterprise Integration

Simplify regulatory reporting and compliance monitoring.

One governed data foundation serving AI governance, reporting, monitoring, change management and fair conduct.

Business Outcomes

Trusted data.
The foundation for governance and digital trust.

What changes when regulatory data stops being an integration problem.

A single source of truth

One trusted view of regulatory information across the enterprise.

Higher data integrity

Improved quality, consistency and integrity of regulatory information.

Simpler reporting

Regulatory reporting and compliance monitoring materially easier to run.

Less duplication

Reduced duplication and reconciliation effort across systems.

Stronger audit readiness

Trusted, traceable data that supports supervisory scrutiny.

Responsible AI inputs

Reliable data for AI, analytics and executive decision-making.

Easier integration

Secure enterprise APIs replace bespoke point-to-point builds.

Executive confidence

Reliable intelligence on risk, performance and customer outcomes.
“By embedding governance into the regulatory data itself, organisations can produce accurate reports, support compliance monitoring and provide trusted data for AI, analytics and enterprise decision-making.”
Altara
Regulatory Canonical Data Platform

FAQs

What data, technology and compliance teams ask before consolidating regulatory data. If yours is not here, we are happy to talk it through.

A single standardised definition of a regulatory data concept that every system maps to, replacing the different structures and definitions each application uses today.

No. It sits above your existing systems, standardising and governing the regulatory data they hold rather than replacing your data estate.

AI systems rely on trusted inputs. The platform supplies governed, traceable data so AI decisions are defensible and explainable.

Yes. Regulatory data lineage and traceability let you follow any reported figure back through every transformation to its origin.

Through secure APIs built for enterprise integration, plus regulatory reporting data services.

It is the trusted data foundation beneath AI Governance, AURA Regulatory Intelligence and Consumer Intelligence.

Build trusted AI.
Speak to an expert.

Let us show you how Altara embeds governance into AI, regulation, trusted data and customer outcomes.