iGaming Data Warehouse & BI Platform
The Challenge
An MGA-licensed iGaming operator had data scattered across its gaming platform, CRM system, payment processing infrastructure, and marketing tools with no unified analytical capability. Business analysts spent days each week manually extracting data into Excel spreadsheets to produce GGR reports, player segmentation analysis, and marketing campaign performance reviews. Leadership decisions were based on stale, inconsistent data, and the compliance team could not produce the real-time reporting that MGA audits increasingly demanded.
Our Approach
redskios designed a centralised data warehouse with automated ETL pipelines that would ingest data from all source systems into a single analytical platform. We modelled the warehouse around the operator's core business metrics — GGR, player lifetime value, bonus cost ratios, and regulatory KPIs — ensuring the data model served both operational reporting and strategic analytics.
The Solution
We delivered an Azure Synapse-based data warehouse with Azure Data Factory ETL pipelines ingesting data from the gaming platform, CRM, payment processors, and marketing systems on automated schedules. The data model followed a medallion architecture with raw, cleansed, and business-ready layers. Power BI dashboards provided real-time GGR tracking, player behaviour analytics, marketing ROI analysis, and regulatory compliance reporting. Self-service BI capability was rolled out to fifty-plus users across operations, marketing, and compliance teams.
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