Industry — Insurance

Insurance Data,
Built for Regulation
and Commercial Performance.

CALIGO builds the data platforms that enable life and non-life insurers to meet Solvency II and IFRS 17 obligations, understand their claims performance, retain customers, and detect fraud — all from a single, governed data foundation.

Solvency IIIFRS 17Claims AnalyticsActuarial DataFraud DetectionRenewal ChurnPolicy LifecycleQRT AutomationCustomer Retention
CALIGO in Insurance
6
Insurance engagements
2
Regulatory frameworks delivered
60%
Design time saved with Insurance DWH Model
18
Source systems integrated in one engagement
Core Capabilities
Solvency II QRT automation
IFRS 17 GMM / PAA data structures
Claims analytics & fraud detection
Actuarial data platform integration
Renewal churn & retention analytics
Policyholder 360 & CLV
Industry Challenges

Insurance Data Is Complex by Design. And by Regulation.

Insurance data carries structural complexity that most data platforms are not designed for. Policy lifecycles span decades. Claims chains involve multiple parties, reserving stages, and reinsurance allocations. Actuarial projections require inputs from dozens of source systems. And regulatory reporting — Solvency II, IFRS 17 — demands data precision and audit trails that core insurance systems were never built to provide.

The regulatory stakes are rising. IFRS 17 transition has exposed data gaps that insurers are still closing. Solvency II capital model reviews require data lineage that most QRT submissions cannot support. And commercial pressures — renewal churn, claims cost, distribution efficiency — demand customer and claims intelligence that fragmented data makes impossible.

IFRS 17 Data Gaps Not Yet Closed
GMM and PAA measurement requires historical policy and claims data that most insurers cannot consistently reconstruct — transition comparative periods remain a challenge.
QRT Reporting Depends on Manual Assembly
Solvency II QRT submissions are assembled from multiple sources using spreadsheets and manual processes — increasing submission risk and making audit trails nearly impossible.
Claims Cost Visibility Is Lagging
Claims analytics is retrospective — understanding which products, segments, and handlers drive claims cost requires data integration that most insurers have not yet achieved.
Fraud Detection Is Manual and Narrow
Claims fraud is detected by reviewing a small sample manually — systematic fraud patterns, claim network rings, and late-reported fraud are invisible without an analytics layer.
Renewal Churn Not Predicted
Policy renewal teams contact all customers uniformly — without a churn propensity model that identifies which policyholders are genuinely at risk weeks before renewal date.
How CALIGO Helps

One Data Platform. Regulation and Commercial Intelligence.

We design the insurance data architecture to serve regulatory, actuarial, claims, and commercial needs simultaneously — from a single governed source of truth.

01
Insurance Data Architecture
We design a unified data model covering policy, claims, actuarial, reinsurance, and financial data — using our pre-built Insurance DWH Model to compress the design phase significantly.
02
Regulatory Layer First
Solvency II QRT structures, IFRS 17 GMM and PAA measurement entities, and SCR/MCR calculation data layers are built in from the start — not retrofitted at year-end.
03
Actuarial Integration
We design the integration pattern for actuarial model outputs — whether from Prophet, Moses, or proprietary systems — into the data layer without manual rekeying or reconciliation.
04
Claims Intelligence Platform
Claims chain data model with fraud detection features, development triangle structures, and handler performance analytics — giving claims teams the intelligence to manage cost and fraud proactively.
05
Customer Retention Analytics
Policyholder 360, renewal churn prediction, and CLV modelling — built on the unified data platform, enabling targeted retention campaigns and differentiated renewal offers.
06
Operate & Support Submissions
DataOps operations keep QRT and IFRS 17 submission pipelines running to regulatory deadlines — with SLA management and incident response for every submission cycle.
Relevant Solutions

What We Build
for Insurance.

Data Platform & Engineering
Unified insurance data warehouse covering policy, claims, actuarial, and regulatory data — cloud-native, governed, and ready for ML workloads.
Explore
Regulatory & Risk Analytics
Solvency II and IFRS 17 data infrastructure — QRT automation, SCR data layer, IFRS 17 GMM/PAA structures, and actuarial data integration.
Explore
Customer & Commercial Analytics
Policyholder 360, renewal churn prediction, CLV modelling, and customer segment analytics for life and non-life insurance portfolios.
Explore
AI & Advanced Analytics
Claims fraud anomaly detection, renewal churn ML models, and pricing optimisation models — deployed to production on the insurance data foundation.
Explore
Data Governance & Operating Model
Data ownership for regulatory CDEs, governance policies for Solvency II and IFRS 17, and lineage documentation for audit trail completeness.
Explore
DataOps & Platform Operations
QRT submission pipeline management, IFRS 17 data validation, and 24/7 SLA management — ensuring no regulatory deadline is missed.
Explore
Use Cases

Outcomes We've Delivered
in Insurance.

These outcomes were delivered in real insurance environments — life, non-life, and health — across Turkey and the wider region.

Insurance · Turkey · Solvency II
End-to-End Solvency II Data Platform in 6 Months
A leading Turkish insurer needed a fully auditable Solvency II data chain from 18 source systems to QRT submission — delivered with zero operational downtime.
18 sources integrated; QRT submission fully automated
Insurance · IFRS 17
IFRS 17 Transition Data Platform — Delivered on Regulatory Deadline
An insurer facing IFRS 17 transition needed historical policy and claims data restructured for GMM and PAA measurement — including comparative period datasets.
IFRS 17 Day 1 transition delivered on regulatory deadline
Insurance · Claims Fraud
Claims Fraud Detection — €2.1M Recovered in Year One
An insurer's fraud team reviewed 0.3% of claims manually. CALIGO built an anomaly detection model scoring all claims at submission — prioritising queues and revealing fraud networks.
€2.1M additional fraud recovered in first year
Insurance · Retention
Renewal Churn Prediction — Retention Cost Halved
A life insurer was contacting all at-risk customers with the same offer. CALIGO built a churn propensity model — enabling differentiated retention spend by risk and value.
Retention cost per saved customer reduced 47%
Insurance · Audit
Solvency II Audit Response: 6 Weeks to 4 Hours
Without automated lineage, the same audit response that previously required 6 weeks was delivered in 4 hours after CALIGO implemented end-to-end automated lineage.
Audit response time: 6 weeks → 4 hours
Insurance · Actuarial
Actuarial Data Integration — Manual Rekeying Eliminated
An insurer's actuarial team manually rekeyed model outputs into the reporting system each month. CALIGO built an automated integration pipeline with reconciliation controls.
Actuarial data cycle reduced from 3 days to 4 hours
Accelerators

Pre-Built Assets for
Insurance.

Industry-specific data models and frameworks that reduce delivery time by up to 60% — built from Insurance engagements, ready to adapt to your systems.

Insurance
Insurance Data Warehouse Model
Pre-built data model for life, non-life, and health insurance — covering Solvency II, IFRS 17 GMM/PAA, claims analytics, and actuarial data integration. 280+ entities.
Learn more
Framework
Data Maturity Assessment
Includes a dedicated regulatory readiness dimension — assessing data quality, lineage, and control environment against Solvency II and IFRS 17 requirements.
Learn more
Framework
Data Operating Model Framework
Governance councils, stewardship roles, and KPI framework — including a regulatory data governance track for Solvency II and IFRS 17 data obligations.
Learn more
Solvency II. IFRS 17. Claims Intelligence.
CALIGO has delivered insurance data platforms, regulatory reporting solutions, and claims analytics across life and non-life insurers in Turkey and the region. Talk to a practitioner who knows your regulatory obligations.