Solvency II compliance in 2026

Solvency II in 2026: a data challenge before anything else

In 2026, Solvency II compliance is no longer just a regulatory exercise. It is a data challenge at scale.

With the rollout of the 2025-2 directive, insurance and mutual organizations are operating under stricter supervision, expanded reporting requirements, and increased focus on long-term investments and ESG risks.

Regulators are not only expecting accurate reports. They expect insurers to prove how every number is built, where the data comes from, and how it is controlled across systems.

This shift changes everything. Compliance is no longer about producing outputs. It is about controlling the full data lifecycle behind them.

Why traditional approaches fail at scale

Many insurers still rely on fragmented processes, combining legacy systems, Excel files, and manual reconciliations to produce Solvency II reports.

This approach creates three major risks:

• lack of traceability between source data and final reports
• inconsistent data definitions across teams
• heavy manual effort for audits and regulatory changes

As reporting complexity increases, these limitations become unsustainable.

In 2026, regulators expect continuous transparency, not last-minute justification.

The three pillars of solvency II, powered by data

Solvency II is structured around three pillars, all deeply dependent on data governance capabilities.

Pillar 1: Quantitative requirements

Key metrics such as the Solvency Capital Requirement (SCR) and Minimum Capital Requirement (MCR) depend entirely on the accuracy and consistency of underlying data.

Any data quality issue directly impacts financial ratios and regulatory exposure.

Pillar 2: Governance and risk management (ORSA)

The Own Risk and Solvency Assessment requires a clear understanding of risks across the organization.

This is only possible if data is properly documented, owned, and controlled across systems.

Without visibility into data flows, risk management remains incomplete.

Pillar 3: Reporting and transparency

Regulatory reports such as QRT and FSCR demand full transparency.

It is not enough to produce the correct figures. Insurers must be able to explain:

• where the data originates
• how it is transformed
• which assumptions are applied

This is where most organizations struggle.

From reporting to traceability: the role of data lineage

In 2026, data lineage has become a critical capability for Solvency II compliance.

It allows organizations to visually trace the full journey of data, from source systems to final reporting outputs. This includes transformations, aggregations, and business rules applied along the way.

With proper lineage, insurers can:

• answer audit questions instantly
• identify the root cause of discrepancies
• perform impact analysis when regulations evolve

Without it, every audit becomes a manual investigation.

Building a scalable compliance framework with a data catalog

To address these challenges, insurers are adopting platforms like DataGalaxy.

DataGalaxy centralizes data knowledge across the organization, connecting business definitions, data ownership, policies, and technical assets in one shared environment.

This creates a clear link between regulatory requirements and the data that supports them.

Its automated data lineage capability provides end-to-end visibility across systems, from legacy platforms to modern data stacks. This drastically reduces the effort required to validate reports and respond to audits.

In addition, DataGalaxy integrates with data quality tools such as Soda, Sifflet, and Bigeye, allowing teams to monitor and document data reliability over time.

Turning solvency II compliance into a competitive advantage

In 2026, leading insurers are moving beyond reactive compliance.

By structuring data governance with platforms like DataGalaxy, they transform Solvency II into a controlled, repeatable, and scalable process.

The benefits are immediate:

• faster and more reliable reporting
• reduced audit preparation time
• improved confidence in regulatory submissions

More importantly, they gain a deeper understanding of their data, enabling better risk management and strategic decision-making.

Solvency II is no longer just a constraint. With the right data foundation, it becomes a driver of operational excellence.

About the author: Max Faivre

Product Marketing Manager