The Challenge
A global technology leader needed a custom real-time data aggregation and business intelligence system to support modernization and improve operations management. The existing environment lacked the efficiency and responsiveness required to handle complex queries and provide timely insights. The company was seeking a managed service solution that could optimize data flow, reduce processing time and deliver a centralized view for strategic decision-making.
How We Helped
Experis conducted a full assessment of the client’s current tools, processes and architecture to identify opportunities for improvement. Based on this analysis, we designed and implemented a custom real-time data lake architecture.
Key technologies included:
- Data Query Optimizers for performance improvements
- Kafka for real-time data gathering
- A configurable data engine for dynamic management
- Foundation as the centralized data store
- API integrations to enable scalable, secure data access
To support long-term success, we deployed a hybrid agile team model. This included onshore product managers and offshore development resources such as Lantern developers, Shoreline developers, testers and documentation experts. Together, the team supported the entire life cycle of the solution and provided continuous management and enhancement.
The Impact
The new data lake solution delivered measurable benefits across the enterprise.
- Reduced processing time, enabling faster and more accurate business insights
- Centralized data sources to improve accessibility and streamline workflows
- Strengthened strategic planning and day-to-day operations with real-time intelligence
- Improved scalability and maintainability of the data infrastructure
This managed service model empowered the company to modernize its data environment and unlock the full value of its data assets.
