About Client
Founded in 2012, the client is an innovative, award-winning, and mobile-first online gaming group offering fun, safe, and well-designed casino and sports-book products. Their growing portfolio of brands continues to disrupt the gaming industry through innovation, user experience excellence, and a strong focus on operational efficiency.
Challenge
The engagement began with a clear need for an enterprise data architecture roadmap and a complementary enterprise data strategy roadmap to bring structure, governance, and scalability to the client’s rapidly expanding ecosystem. As the company prepared for future brand acquisitions, it became evident that the current data environment lacked the flexibility and standardization required for fast-moving business operations.
The existing pipelines were not scalable and resulted in inconsistent data quality across brands. There was no unified enterprise data strategy, no clear governance model, and no cohesive KPI definitions to ensure consistent measurement across products. Analysts struggled with delayed access to data, and decision-makers lacked confidence in the accuracy, timeliness, and consistency of insights. The organization needed a structured plan to move from fragmented data processes to a scalable, governed, and future-ready enterprise data landscape.
Objective
The project goals focused on understanding the current ecosystem and building a clear path toward a robust enterprise data foundation. Key objectives included:
- Gaining visibility into the current data pipelines
- Understanding business processes and analytics dependencies
- Identifying gaps between industry-standard practices and the existing implementation
- Defining a scalable target architecture and data model as part of the broader enterprise data strategy
- Recommending the right technology stack for a future-ready data warehouse
- Providing effort, cost, and timeline estimates for building the Enterprise Data Warehouse (EDW)
The client needed more than a list of fixes—they needed a structured enterprise data architecture roadmap and enterprise data strategy roadmap to guide long-term data modernization, governance, and operational alignment across brands.
