menu
RUcontact us
home/industries/insurance

Insurance

An insurer needs to price risk correctly when selling a policy and settle claims quickly without paying out to fraudsters.

typical problems
  • Policy and claims data is scattered and loss ratios are worked out by hand
  • Prices are not revised against actual loss experience
  • Fraudulent claims are caught too late
how we help
how we usually start
  • A portfolio review: loss ratios by product, channel and segment
  • Bringing policies and claims into one database
  • Rules that flag suspicious claims, and a pricing review
what changes
  • Loss ratios by product and channel are visible in one report
  • Prices are revised against actual loss experience
  • Suspicious claims are flagged before payout
solutions

Problems we solve in this industry

Stress testing and liquidity

Scenarios, capital and liquidity calculations without Excel assembly

solutions and platforms

What we use

Trisigma Analytica

One of our two core offerings. Built in-house for banks, lenders and insurers: IFRS 9, ALM, lending and reporting.

primary

Snowflake

The data cloud for analytics, AI, data engineering and secure data sharing.

complements
read

Related insights

Bank stress testing without the Excel chaos

How to link macro scenarios to credit losses and liquidity, build a single data source, and run a process you can repeat and defend.

write to us

The first 30 minutes are a free review of your problem

info@trisigmaerm.com
Discuss a project Request an IFS Cloud demo
office36K Lev Tolstoy St, Bishkek 720001, Kyrgyzstanshow on the map ↗