About the Client:
A global event management leader, the client orchestrates thousands of conferences, trade shows, and corporate events annually. Their success hinges on understanding attendee behavior, optimizing experiences, and demonstrating ROI to sponsors—powered by data.
Background:
With rapid growth in digital engagement and data sources—ticketing systems, event apps, CRMs, surveys—the client’s fragmented, on-premise infrastructure couldn’t keep up. Data silos, and manual wrangling delayed insights, hampering real-time decision-making during live events and limiting their ability to scale analytics.
Challenge:
- Siloed & Inconsistent Data: Disconnected systems and varied definitions eroded trust in reports.
- Limited Scalability: Existing setup couldn’t handle data growth or event spikes, causing slowdowns.
- Poor Data Quality: Flawed ingestion led to errors, duplicates, and unreliable insights.
- Analytics Bottlenecks: Real-time and predictive analytics weren’t feasible due to fragmented data.
Manual Overhead: Engineers spent more time fixing data than generating insights, delaying outcomes and increasing costs.
