About the project:

The operations team at a major European insurance group needed reliable, timely visibility into claims performance and claims managers KPIs — but the data they needed was scattered across disconnected systems, primarily Oracle and SAS. With no integration layer in place, teams were relying on slow manual reporting processes that produced inconsistent metrics and delayed critical decisions. AdvanceWorks was brought in to solve this at the root. The engagement covered three interconnected workstreams: consolidating claims, payments, and management activities into a single governed data model; building a robust ETL pipeline to extract, cleanse, and harmonize data from multiple source systems; and delivering an intuitive Qlik reporting layer that puts self-service analytics directly in the hands of operations managers — without needing to involve IT for every query.

Team Collaboration:

A multidisciplinary team of AI engineers, cloud architects, and data specialists worked closely to design, implement, and integrate the voice application, backend workflows, and analytics layers. This collaboration ensured a seamless flow of conversational data into actionable recruitment insights.

Goals achieved:

1. Integrated data ecosystem: A new governed claims data model in Qlik
   provides a single source of truth across the organization
2. End-to-end ETL pipeline: Fully automated extraction, transformation,
   and loading from Oracle and SAS, with data quality controls and lineage
   tracking.
3. Operational KPIs: Real-time visibility on resolution time, closure cycle,
   and payment efficiency – standardized across the organization.
4. Self-service analytics: Claims managers can now explore data
   independently through interactive Qlik dashboards built for granular, on-
   demand analysis.

Results:

With all claims data now flowing through a single governed pipeline, the operations team has reclaimed time that was previously spent on manual data preparation. Instead of chasing numbers across disconnected systems, managers can open a dashboard and have the answers they need — in real time, with full confidence in the data behind them.

The standardized KPI framework means that decisions across the organization are now based on the same metrics, eliminating the inconsistencies that previously led to conflicting reports and misaligned priorities. Claims lifecycle tracking and payment efficiency are now continuously visible, making it significantly easier to identify bottlenecks and act on them quickly.

The broader impact is a shift in how the organization approaches claims management: from reactive and report-dependent to proactive and data-driven. The platform directly supports ongoing efforts to shorten claim lifecycles, accelerate payment cycles, and improve overall operational transparency.