Embedded Analytics Support for a Major Australian Payments Provider - Helium

OVERVIEW

A major Australian payments provider, newly expanded through a merger across several subsidiaries, needed a single data foundation capable of handling billions of transactions — and a partner who could stay embedded long-term to keep building on it.

Client Story

Strategy and Priorities:

Unify fragmented data systems and strategy across multiple business divisions — creating a single, reliable foundation for advanced analytics and AI.

Modernize the retail banking experience to retain younger demographics and increase daily app engagement.

Digital Priorities:

Build a scalable, cloud-native data platform on AWS and Snowflake — enabling real-time analytics, automated data sharing and compliance-ready governance.

Shift from a purely transactional utility to a proactive financial advisory tool.

The Challenge:

A post-merger organisation handling billions of annual transactions across siloed systems — with no unified data model, inconsistent reporting and limited ML capability.

Our Collaboration:

Omnia became the client's embedded data, analytics and AI partner — working directly alongside their technology, finance, sales and operations teams over an ongoing three-year engagement.

We partnered with the bank’s digital and data science teams to design and validate an AI-driven homepage that anticipates user needs and provides tailored financial guidance.

CONTEXT

The Challenge

Brought in shortly after a merger across several subsidiaries, Omnia faced a payments provider with data spread across disconnected systems — cloud platforms, CRM databases and legacy batch processes — handling billions of annual transactions with no consistent view across the business. The organisation needed to unify its data strategy, enable advanced analytics across divisions, and deliver the secure external data sharing capabilities that financial services compliance demands. The work needed to hold up at enterprise scale from day one.

OUR EXPERTISE

Omnia supported the development of a comprehensive cloud-native data platform that consolidated disparate systems, enabled advanced analytics and delivered secure external data sharing. The solution transformed how the organisation used data across all business operations — while meeting strict financial services compliance requirements.

How we helped

The Solution

Multi-source pipeline development

Built robust data ingestion pipelines connecting cloud platforms, CRM databases and legacy batch systems — standardising ETL/ELT processes across the organisation.

Cloud data warehouse

Designed and deployed a scalable AWS and Snowflake architecture capable of processing billions of annual transactions — with optimised storage and compute separation for cost efficiency.

Data model harmonisation

Created unified schemas standardising customer, merchant and institutional data across previously siloed business units — enabling consistent reporting and cross-divisional analytics.

Developed a high-fidelity mobile prototype featuring predictive ML spending insights, Gen-AI chat support, and dynamic UI modules.

Secure data sharing

Implemented SFTP-based encrypted data exchange systems enabling secure B2B data sharing with external partners — maintaining full compliance with financial services regulations.

Validated the AI-driven features through extensive qualitative user testing, ensuring the algorithms felt helpful rather than intrusive.

IMPACT

A unified data foundation for billions of transactions.

3-year

ongoing embedded partnership

Billions

of annual transactions on the platform

7 Solution

work-streams delivered end-to-end

TOOL STACK

Data & ML Engineering Stack

AWS

Snowflake

Dynatrace

dbt

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