Data Platform & AI-Ready Transformation
EdgeRed delivered a full data platform transformation — legacy system to modern cloud data warehouse — giving an Australian SaaS business the foundation to run advanced analytics and AI initiatives, with measurable commercial impact including a significant uplift in customer retention.
The Challenge
An Australian circular economy & SaaS business was running their data on a legacy system — resulting in slow reports, low dashboard adoption and a data team spending the majority of their time fielding repetitive ad hoc queries. The organisation lacked the senior data leadership to drive the transformation they needed, and didn’t have the internal capability to do it alone. They needed a modern data foundation capable of powering advanced analytics, machine learning and future AI initiatives — and a trusted partner who could both lead the strategy and deliver the execution.
What We Built
EdgeRed worked alongside the client’s data function to deliver a full platform transformation across three workstreams – data engineering, analytics and machine learning.
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Platform migration
Full migration from a legacy data system to Snowflake — automated pipelines, data quality checks, governance tooling and data models built to production standard -
Data & AI governance
Governance framework and lineage implemented to establish a single source of truth — replacing a fragmented, inconsistent reporting environment, and laying the groundwork for governed AI initiatives. -
BI transformation
Hundreds of existing reports assessed and consolidated into a streamlined set of Power BI dashboards — dramatically reducing reporting overhead and increasing adoption -
Machine Learning & AI
Machine learning model deployed to identify anomalous behaviour and potential fraudulent transactions across the network -
Customer analytics
Data-driven campaign analytics designed and delivered with the marketing team — targeting customers by lifecycle stage and behaviour
Augmented Services
EdgeRed supplied a dedicated onshore team to extend the client’s internal data capability – without the overhead of a full-time hire. The team brought a blend of seniority and experience – 1 Data Engineer, 2 Data Analysts, and 0.5 Analytics Lead.
What that means in practice:
- Senior capability on demand - right skills, right time, no long-term headcount commitment
- 100% onshore delivery - every person on your project is based in Australia
- Flexible resourcing - scale the team up or down as project needs change
The Outcome
The transformation delivered measurable commercial impact. Customer retention improved significantly through targeted, data-driven campaigns. The reporting estate was consolidated from hundreds of legacy reports to a fraction of that number — trusted, self-serve dashboards the business actually uses. The organisation shifted from a data function consumed by reactive queries to one that drives strategic decisions — with a modern, AI-ready platform built to scale.
