Systems & Data Flows
The software that manages the entire life of a policy from submission to renewal.
Policy admin system (PAS)
At Berylline, this team handles policy issuance, binders, endorsements, and QC.
Underwriting teams
The four components of a catastrophe model, in order.
Hazard, Exposure, Vulnerability, and Loss
The type of monitoring that scans for stolen company credentials before a cyber policy is written.
Dark web monitoring
The Session 2 tool that connects directly to Module 6’s reinsurance program design.
Catastrophe model
The step in the data lifecycle where duplicates are removed and formats are standardized.
Clean / Data cleaning
The four focus areas of Berylline’s Operations team include technology, process improvement, strategic support, and _____.
Digital transformation
GIS stands for ____________.
Geographic Information Systems
Smart devices like water leak detectors and fire sensors that monitor properties in real time.
IoT sensors
The Module 3 process that runs through a policy admin system at every step.
Policy lifecycle / quote-to-bind process
When these systems are connected, a policy change in underwriting automatically updates this department’s reserves.
Claims
At many other insurance companies, the Operations team does this, but at Berylline it sits within the UW teams.
Policy processing / Assembling/issuing policies
The type of data GIS overlays on top of insured property locations to show risk.
Hazard zones (flood zones, wildfire perimeters, wind fields, fault lines)
Insurance that pays automatically when a measurable trigger occurs, like wind speed exceeding 130 mph.
Parametric insurance
The type of satellite/aerial technology used to assess a property roof’s condition without a site visit.
Aerial imagery / satellite imagery / drone imagery
The type of tool that turns raw data into visual dashboards and reports for management.
Business Intelligence (BI)
Berylline’s Ops team partners with this group to translate business needs into technology solutions.
Executive leadership / Business unit leaders
A cat model simulates thousands of these to estimate potential losses.
Disaster scenarios (or hurricane seasons, earthquake events)
In AI-assisted underwriting, AI handles data extraction and risk scoring, but this person always makes the final decision.
Underwriter
The concept from Session 2 where GIS reveals too many policies clustered in one area — the enemy of insurance.
Concentration risk
The problem that occurs when different departments store data in different systems that don’t talk to each other.
Data silos
The reason specialty carriers need flexible technology rather than cookie-cutter solutions.
‘Every risk is unique’ / Custom/manuscript policies
The cat model output that carriers use to design their reinsurance programs and set retention levels.
Loss estimates / Probable maximum loss (PML)
The data lifecycle principle captured by the phrase ‘garbage in, garbage out.’
Data quality / The importance of clean data
____ are older technology systems that are hard to update or integrate with modern analytics tools.
Legacy systems?