Case Study
iGaming Analytics: 12M Events/Min Processed, 28% Player Retention Lift
Gaming · iGaming Platform
The Challenge
A European iGaming operator needed real-time player behavior analytics across 15 game verticals - processing 12M+ events per minute with sub-second insight delivery for personalization engines and responsible gaming compliance reporting.
The Solution
NINtec built a real-time streaming analytics platform using Kafka and Apache Flink, with ML models predicting player churn risk and identifying at-risk behavior patterns for responsible gaming flags. Interactive dashboards deliver insights to product and compliance teams with sub-second latency.
Results
12M+
Events/Min Processed
28%
Player Retention Lift
<1s
Insight Latency
15
Game Verticals Covered
Technology Stack
Apache FlinkKafkaPythonReactClickHouseAWS