About Client
The client is one of the world’s largest and oldest multi-channel bookmaking and gaming companies headquartered in the United Kingdom. The organization operates in more than 25 countries and reported annual revenues exceeding €3 billion as of 2020.
The company manages massive volumes of betting transactions, customer interactions, and gaming data generated across digital and physical channels. As the iGaming ecosystem expanded globally, the organization required a scalable analytics infrastructure capable of supporting advanced reporting, operational monitoring, and long-term iGaming AWS optimization strategies across its technology landscape.
Background
Mergers and acquisitions are frequent within the casino and gaming industry. While these strategic moves enable rapid market expansion, they often introduce complex data challenges.
Two primary data challenges typically arise during M&A activity:
- The need to shift from or accommodate multiple data infrastructure tools and platforms.
- Consolidating data from several systems and databases into a single centralized platform such as a data warehouse or data lake.
For gaming companies, unified data access is essential for monitoring player behavior, tracking betting performance, ensuring regulatory compliance, and identifying untapped revenue opportunities. Establishing a consolidated data warehouse also lays the groundwork for scalable analytics and long-term iGaming AWS optimization, allowing gaming enterprises to modernize their data architecture over time.
Challenge
- The client had recently merged with another major online casino and wanted to build a single consolidated data-warehouse with unified data structures and processes across the organization. And as a part of its long-term strategic plan, the client wanted to move away from Oracle and few other sets of diverse data storage options to MS-SQL Server.
- The data migration process from Oracle to MS-SQL is a mammoth task and needed shell scripting in order to migrate the data from several flat files including csv and excel.
