Case Study: Data Platform & AI-Ready Transformation
EdgeRed delivered a full data platform transformation — legacy system to modern cloud data warehouse — giving a sustainability-focused Australian 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 sustainability-focused 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 embedded as fractional data lead and delivered a full data 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 governance
Governance framework and lineage implemented to establish a single source of truth — replacing a fragmented, inconsistent reporting environment -
BI transformation
Hundreds of existing reports assessed and consolidated into a streamlined set of Power BI dashboards with row-level security and automated refresh — dramatically reducing reporting overhead and increasing adoption -
ML & anomaly detection
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
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.
