Certify your Solvency II data
The challenge: insurance data integrity under pressure
-
Increasing complexity of actuarial models: The integration of forward-looking variables such as climate risks and ESG criteria makes technical provision calculations increasingly difficult to document and justify.
-
Pillar 3 reporting pressure: Producing QRT, RSR, and SFCR reports requires extremely short reporting cycles. Manual reconciliation between underwriting and Fast Close systems increases operational risk and reporting errors.
-
Dependency on spreadsheets and opaque formulas: Pricing and reserving algorithms scattered across local files create traceability gaps frequently highlighted during regulatory inspections.
Benefits for your organization
Accelerated financial and regulatory reporting
Optimize your reporting production cycle. Automated documentation removes operational bottlenecks and allows actuarial teams to focus on strategic analysis instead of manual data investigations.
Optimized economic capital management
Demonstrate full control and trustworthiness of your insurance data to regulators and reduce excessive prudential margins, freeing capital to support business growth.
Confidence during regulatory audits
Approach every regulatory inspection with confidence. Instantly provide up-to-date data lineage and governance documentation to reduce compliance risk and audit findings.
Better insurance product performance
Turn regulatory compliance into a performance driver. Better governed and documented data improves underwriting strategies, risk pricing, and portfolio profitability.
Automated lineage for regulatory reporting flows
Our technology automatically maps the full lifecycle of your insurance data. From core insurance and claims systems to final regulatory reports, every transformation and aggregation is visually documented. Auditors can instantly verify the origin of any financial or actuarial metric.
Unified actuarial glossary and business dictionary
Bridge the gap between technical IT terminology and actuarial business expertise. Centralize business rules, pricing formulas, and risk definitions in one collaborative platform directly connected to your physical data assets.
Continuous solvency data quality control
Ensure your SCR and MCR calculations rely on trusted and certified data foundations. Our platform integrates freshness, reliability, and completeness indicators directly into your critical data assets. Risk management teams are instantly alerted when anomalies are detected across reporting pipelines.
Mapping emerging risks and AI-driven models
Document the integration of climate-related criteria and predictive algorithms used for underwriting, scoring, or claims management. The platform removes the black-box effect by exposing the data sources and governance layers powering your ORSA and forward-looking risk assessments.
Request a demo
FAQs
- How do healthcare organizations ensure data compliance while unlocking clinical value?
-
Healthcare teams handle vast, sensitive datasets — from EHRs and PHI to genomics and clinical trials. DataGalaxy supports HIPAA-aligned governance through glossary-driven documentation, metadata controls, and traceability across systems, while enabling compliant reuse of real-world evidence (RWE).
See how Malakoff Humanis built scalable governance across regulated healthcare and insurance data systems.
👉 Want to see how this applies to your organization? Contact us for a tailored walkthrough. - Is data governance just about compliance?
-
No — while compliance is critical, governance also improves data quality, team collaboration, trust in reports, and decision-making. It’s about creating a foundation for value creation, not just risk reduction.
? Want to go deeper? Check out:
https://www.datagalaxy.com/en/blog/data-governance-for-new-eu-ai-act-compliance/ - How can I ensure compliance with data regulations like GDPR, HIPAA, or ESG?
-
When regulations tighten, your metadata better be ready.
Think GDPR, ESG, HIPAA, BCBS 239 — every compliance standard demands clarity on where sensitive data lives, how it flows, and who’s responsible for it.
DataGalaxy gives governance teams the metadata backbone to support audits, regulatory reporting, and privacy-by-design at scale.
👉 – Map sensitive data and tag it with classifications like PII
👉 – Track lineage and movement of regulated assets
👉 – Enforce policy through ownership, documentation, and rules
👉 Facing this challenge? Explore the solution
👉 Want to see it live? Book a tailored demo - How does the catalog support governance and compliance?
-
It includes lineage, impact analysis, ownership tracking, and policy management — all mapped to your data assets. That means better traceability, audit readiness, and confidence in data-driven decisions.