AIDA case studies
AIDA · Put your knowledge to work in context.
The Associate in Insurance Data Analytics (AIDA) is a designation listed by The Institutes Knowledge Group in its Data & Technology designation family, alongside the Associate in Insurance AI (AIAI) and the Associate in Information Technology (AIT). It is positioned for insurance professionals who want applied analytics skill rather than broad insurance generalism: underwriters, claims and operations staff, and data or technology specialists moving into risk and insurance roles. The captured course structure is compact. Two core courses carry the designation - AIDA 401: Using Data Analytics to Strengthen the Insurance Value Chain, and AIDA 402: Developing and Implementing Data-Driven Strategies. The AIDA case studies are 5 cases and about 2,323 words.
1Auto Claims Triage: High AUC, Tight Capacity
A regional auto insurer receives 120,000 claims a year. A vendor model scores each claim for probability of becoming complex, defined as ultimate severity above $25,000.
462 words, about 2 min2Buying External Property Data for SME Underwriting
An MGA writes 8,000 SME property policies with 24 million GWP. The current loss ratio is 68% and the expense ratio is 29%, producing a 97% combined ratio.
518 words, about 3 min3Fraud Analytics: Replacing Rules or Adding a Shadow Model?
A personal auto insurer receives 45,000 bodily injury claims a year. Its rules engine generates 2,500 alerts a month, but SIU can investigate only 300.
498 words, about 2 min4Operating Model for a Federated Analytics Backlog
A P&C insurer has 14 business units, nine legacy data warehouses, and 40 analysts scattered across finance, claims, and underwriting. Analytics requests wait nine months; analysts spend 60% of their time finding and cleaning data.
450 words, about 2 min5Scaling Broker Scorecards Without Overclaiming Causality
A commercial insurer gets 70% of GWP through 1,200 brokers. Eight months ago it launched a portal with monthly broker scorecards showing quote-to-bind, retention, and cross-sell.
395 words, about 2 min