Data Platform & AI-Ready Transformation
EdgeRed delivered a full data platform transformation for an Australian SaaS business — migrating from a legacy Oracle system to Snowflake across three workstreams: data engineering, analytics, and machine learning. The result: 200+ legacy reports consolidated to 20 Power BI dashboards, a machine learning model deployed for fraud and anomaly detection, and a 2.5x increase in customer retention from targeted data-driven campaigns.
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.
Technology Used
- Fivetran — automated ingestion pipelines into Snowflake
- Snowflake — target cloud data warehouse; data models, governance framework, and production-grade pipelines
- Snowflake Cortex — machine learning model deployed to detect anomalous behaviour and potential fraudulent transactions
- Azure Data Factory — data pipeline orchestration
- Power BI — BI layer; hundreds of legacy reports consolidated into self-serve dashboards
- Streamlit — interactive data applications built on top of the Snowflake platform
- KADA — data governance and lineage tooling; single source of truth established across the reporting estate
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. Targeted, data-driven campaigns produced a 2.5x increase in customer retention. 200+ legacy reports were assessed, migrated, and consolidated into 20 trusted Power BI dashboards the business actually uses. A machine learning model now runs continuously across the network detecting anomalous behaviour and potential fraud. Most significantly, the organisation shifted from a data team consumed by reactive queries to a business making independent, data-driven decisions — on a modern, AI-ready platform built to scale.
