Catastrophe exposure aggregation
Analysts need a consistent view of insured locations when an event affects several portfolios.
The challenge behind the workflow.
Analysts need a consistent view of insured locations when an event affects several portfolios.
Bring exposure, policy, claims, repair, and financial data into a common working context. Help underwriters, claims teams, and catastrophe analysts investigate exceptions without losing the history behind a decision.
Data to bring together
- Insured locations
- Event boundaries
- Coverage limits
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Validate coordinates and join policy exposures to the approved event footprint.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Aggregate exposed values and identify uncertain geocodes or overlapping coverage.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Deliver an exposure snapshot with data dates and unresolved assumptions.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A catastrophe exposure snapshot
Make the next run easier.
Reusable geographic mappings make each event review easier to prepare.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Time to assemble a reviewed exposure snapshot
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Specialists validate event data and assumptions before communicating exposure estimates.
AI with professional judgment.
Use AI to summarize documents and suggest investigation questions. Coverage, pricing, fraud referrals, and claim payments require authorized review.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.