How Betway Built a Scalable Data Engine for Real-Time Decisions
The client:
Betway operates in highly regulated markets around the world, processing huge volumes of fast-moving data every day. In this industry, speed, compliance, and accuracy aren’t optional — they’re the difference between winning and losing.
The Problem
• Slow, unscalable reporting that delayed operational and compliance decisions.
• Disconnected systems and undocumented business rules, reducing trust in data.
• An internal team without the tools or experience to deliver a modern solution.
• A growing business that needed to scale quickly without compromising on regulation or accuracy.
The risk was clear: without change, Betway could fall behind competitors, face mounting operational costs, and lose the agility to respond to market shifts in real time.
The Result
Betway transformed its reporting from slow and unreliable to near real-time, giving teams the ability to monitor business risk as it happens. Data from three key sources was integrated within weeks, creating a trusted, transparent foundation for decision-making. The platform now scales without costly rebuilds, and the fully trained internal team can build, maintain, and enhance it without external support. With the old limits removed, Betway can respond faster to market changes and make smarter, data-driven decisions.
The Solution
Working closely with Betway’s leadership and technical teams, Business Thinking:
• Designed and built a scalable cloud-based Data Vault platform on dbt, AutomateDV, and Snowflake.
• Started with a rapid proof of concept — data flowing within one day, three key sources integrated in just three weeks.
• Delivered a near real-time data feed to monitor business risk continuously.
• Rebuilt and enhanced existing reports, and enabled creation of new analytics products on demand.
• Embedded best practices for requirements gathering, testing, and reusable data product design.
• Trained Betway’s internal team to run, extend, and govern the platform without external dependency.
Data sources loaded in 3 weeks
Near real-time feed for monitoring business risk
Data flowing in 1 day from project kick-off
Technology Used
