Sifflet is the leading data observability platform that delivers data trust at scale for analytics and AI initiatives by bridging the gap between technical and business users.  Global customers like the Penguin Random House, Carrefour, Auchan, CMA CGM and Adaptavist rely on Sifflet to reach and maintain high levels of data quality and reliability needed for business critical analytics and AI.  Sifflet is a best-in-class data observability solution for the entire organization, ranked Best estimated ROI and Fastest implementation by G2 users. 

Sifflet, the AI-augmented data observability platform built for data teams with business users in mind.

Claims leakage is often treated as a process problem. But in many cases, the root cause appears earlier, inside the data flows that feed claims decisions.

Policy coverage, claims history, third party data, fraud signals, pricing logic, and payment rules all move across different systems, teams, and update cycles. When that data is incomplete, stale, inconsistent, or poorly traced, the issue may not surface until after approval, during manual review, audit, or reconciliation.

By then, the cost is already real.

In this webinar, we will show how insurers can shift from late detection to decision point confidence. You will see how Sifflet helps data, claims, finance, and governance teams identify unreliable data before it affects claims outcomes, understand downstream business impact, and accelerate root cause analysis across complex insurance data stacks.
