Data Analytics & BI
Analytics that answers business questions — not just dashboards that display data.
What we deliver
Most analytics problems aren’t technology problems. They’re trust problems — inconsistent numbers, definitions that vary by team, and reports nobody believes. As a data analytics consulting team, we fix the foundations first: clear metric definitions, governed data models, and outputs built for the people who actually need to make a call. The dashboards follow from that. So does everything else.
Dashboard design & build
Stakeholder-led design, iterative build and user testing — Power BI, Tableau and Looker dashboards built for the people who will use them daily, not just the people who commissioned them.
Semantic layer & data modelling
Centralised semantic models with consistent metric definitions, row-level security and governed calculations — so every dashboard draws from the same verified numbers.
Natural language querying
Plain English interfaces over your structured data — letting business users ask questions and get governed, accurate answers without writing SQL. Built on platforms like Microsoft Power BI.
Embedded & operational analytics
Analytics built directly into the tools and workflows your teams already use — surfacing the right data at the point of decision, not in a separate BI environment people have to remember to open.
BI platform migration
Migration of dashboards and data models from legacy tools — Datorama, Qlik, legacy Power BI, Tableau — to modern platforms, with full reconciliation and testing.
Report rationalisation
Assessment and consolidation of sprawling report landscapes — reducing hundreds of overlapping reports to a smaller set of trusted, self-serve dashboards.
Case studies
Customer Loyalty Analytics for a leading Quick Service Restaurant
Industry: Food & Beverage
EdgeRed built a customer loyalty analytics capability for a leading Australian QSR brand – giving the marketing team a clear, data-driven view of who their most valuable customers were, what kept them coming back, and where loyalty was at risk – with up-to-date marketing dashboards.
[**Read the case study →**](/content/case_study/customer-loyalty-analytics-for-qsr/ "Data Platform & AI-Ready Transformation"/index.html)
Scaling Used Car Pricing Intelligence with Snowflake and Vertex AI
Industry: Automotive
EdgeRed diagnosed and refined a used car price prediction model for a leading Australian automotive marketplace – replacing inconsistent, experience-dependent pricing with a fast, reliable model that any team member can use using Snowflake and Vertex AI.
[**Read the case study →**](/content/case_study/scaling-used-car-pricing-intelligence-with-vertex-ai/ "Data Platform & AI-Ready Transformation"/index.html)
Data Platform & AI-Ready Transformation
Industry: Technology & Software
EdgeRed delivered a full data platform transformation for a SaaS business — from legacy system to modern cloud data warehouse, with a data governance framework and data strategy built in from the ground up — giving the business the foundation to run advanced analytics and AI initiatives.