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Success story.

Real-Time Streaming of Insurance Data

Traditional insurers processed batches of policies and claims daily, overloading their systems and resulting in slow response times for customers and brokers.

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We take on any challenge

At Zenta there are no obstacles we cannot overcome.

  • Challenge

    Implement a real-time data flow that allows immediate analysis of risks and claims, enabling proactive underwriting and customer service operations.

  • Solution

    We deployed Kafka on Confluent on GCP, connected Dataflow for streaming processing, and fed Looker dashboards with alerts in BigQuery ML for fraud detection and risk patterns.

Results from our management

  • 70% of claims pre-classified instantly.

  • 20% reduction in fraud detected early.

  • SLA of care in <1 hour for critical cases.