Accelerator 02 — Insurance

Insurance Data,
Governed and Ready
for Regulation.

A pre-built dimensional data model for life, non-life, and health insurance — covering policy, claims, actuarial, and regulatory data. Designed for Solvency II, IFRS 17, and the analytical workloads that drive commercial performance.

Life InsuranceNon-Life InsuranceHealthSolvency IIIFRS 17Claims AnalyticsActuarial DataFraud DetectionCustomer Retention
Delivery Package Includes
Logical & physical model documentation
IFRS 17 GMM and PAA data structures
Solvency II QRT mapping templates
Claims analytics feature library
Actuarial data integration guide
DQ rules for all regulatory CDEs
280+
Pre-built entities
3
Insurance lines covered
60%
Design time saved
2
Regulatory frameworks
Business Value

Why This Accelerator
Moves the Needle

Insurance data is structurally complex. Policy lifecycles span decades, claims chains involve multiple parties and reserving stages, reinsurance treaties create cross-entity relationships, and regulatory reporting demands data that most core insurance systems were not designed to produce.

Our Insurance Data Warehouse Model addresses this complexity with a pre-built data structure that insurers can deploy without the months of design effort that typically precede meaningful delivery. The regulatory layer — covering both Solvency II and IFRS 17 — is built in, not bolted on.

The model has been used in production environments across life, non-life, and health insurance in Turkey and the wider region — carrying the design decisions that only come from real regulatory submission experience.

IFRS 17 Ready from Day One
GMM and PAA measurement data structures, transition period comparative data requirements, and CSM tracking entities are pre-built — not retrofitted at year-end.
Solvency II QRT Automation
QRT report structures, SCR calculation data layer, and ORSA data requirements are pre-modelled — enabling automation of submission-ready outputs.
Claims Analytics Foundation
A pre-built claims chain data model — covering notification, assessment, reserving, payment, and closure — with fraud signal features and development triangle structures included.
Actuarial Data Integration
Integration patterns for feeding actuarial model outputs — best estimates, risk margins, discount rates — into the reporting layer without manual rekeying or reconciliation.
Model Scope

Full Insurance Coverage.

The Insurance DWH Model covers the complete insurance data lifecycle — from policy inception through claims settlement and regulatory submission.

Policyholder & Party
Policyholder 360 profile
Agent & broker relationships
Beneficiary & named insured
Group & scheme structures
Renewal behaviour history
Policy & Product
Policy lifecycle & status
Product & tariff structure
Cover & endorsements
Premium & instalment schedule
Reinsurance treaty mapping
Claims & Reserving
Claim notification & FNOL
Assessment & liability
Reserve & IBNR development
Payment & recovery
Subrogation & salvage
Actuarial & Finance
Best estimate liability
Risk margin & discount
CSM roll-forward (IFRS 17)
Loss development triangles
Investment & asset data
Regulatory Layer
Solvency II QRT structures
SCR & MCR calculation data
ORSA data requirements
IFRS 17 GMM / PAA
Pillar 3 disclosure data
Analytics Layer
Claims frequency & severity
Renewal churn features
Fraud detection signals
Customer CLV inputs
Profitability by segment
Implementation

From Accelerator
to Production.

The accelerator is the starting point, not a finished product. CALIGO adapts it to your source systems, technology stack, and regulatory requirements — dramatically compressing the design and build phases.

01
Line of Business Scoping
We scope the model to your active lines — life, non-life, health — and map your core insurance systems against the entity model.
02
Regulatory Layer Configuration
IFRS 17 measurement approach (GMM vs PAA) and Solvency II reporting obligations are configured into the regulatory layer structures.
03
Claims Chain Adaptation
The claims data model is adapted to your specific reserving methodology, reinsurance treaty structures, and claims handling workflow.
04
Actuarial Integration Design
We design the integration pattern for feeding actuarial model outputs — whether from Prophet, Moses, or proprietary systems — into the data layer.
05
Pipeline Build & QRT Testing
Pipelines are built, DQ rules applied, and QRT outputs reconciled against your current regulatory submissions before go-live.
Typical Impact vs. Greenfield
Design phase vs. greenfield
50–60% faster
Insurance entities pre-designed
280+
Regulatory frameworks covered
Solvency II & IFRS 17
Lines of business in scope
Life, Non-Life, Health
Typical QRT automation uplift
80%+
See the Insurance Model Against Your Data.
We run a rapid source system assessment — mapping your core insurance system to the model entities and identifying adaptation scope. Typically one week.