Ensuring consistent methodology for modelling reporting requirements
The European Insurance and Occupational Pensions Authority (EIOPA)’s insurance supervisory framework encompasses a comprehensive range of reporting requirements. Under Solvency II, these include Financial Stability Reporting, European Central Bank (ECB) Insurance Statistics, Own Risk and Solvency Assessment (ORSA), Solvency and Financial Condition Report (SFCR), Regular Supervisory Reporting (RSR), Special Purpose Vehicle (SPV) Reporting for National Competent Authorities (NCAs). The reporting landscape is also expanding with the Insurance Recovery and Resolution Directive (IRRD), for which EIOPA published a dedicated DPM and XBRL taxonomy in July 2026.
Ensuring an efficient and effective process throughout the entire reporting cycle has always been one of EIOPA's key objectives. To achieve this, EIOPA has integrated complex regulatory requirements into the DPM (Data Point Methodology) and XBRL (eXtensible Business Reporting Language) taxonomies. This approach ensures full consistency and enables the use of a shared data dictionary, providing clear benefits to the market and NCAs. These benefits include reduced implementation costs for reporting entities and enhanced data integration for supervisory analysis. This integrated approach also aligns with EIOPA's commitment to enhancing the quality and reliability of supervisory reporting in the European insurance sector.
Solvency II Taxonomy 2.10.0
EIOPA published Insurance Data Point Model and Taxonomy 2.10.0 on 3 July 2026. The new taxonomy will apply from the Q1 2027 reporting reference period, while Taxonomy 2.8.2 remains applicable through Q4/Annual 2026. EIOPA also published the dedicated IRRD Data Point Model and XBRL Taxonomy 2.11.0 on 27 July 2026.
For insurers, the focus now shifts to implementing and validating the new reporting requirements ahead of the first applicable reporting periods.
Solvency II Taxonomy EIOPA
EIOPA has increasingly utilized technology to provide a uniform implementation of the reporting requirements, assist market participants in fulfilling them and enhance data dissemination. The authority has effectively implemented IT solutions for data collection and analysis, including a centrally managed XBRL taxonomy, Data Point Meta-modelling, and improvements to the current Data Point Modelling approach, translating data items included in the relevant Technical Standards and Guidelines into a DPM.
DPM is a data centric method (defined by ISO 5116)—a technology neutral, well-organised and comprehensive data-centric approach to organise meta-data concepts and define data with meaningful characteristics together with their contexts, relationships and other associations to improve data quality and enhance data analysis. Our team of dedicated technical experts have actively contributed to the methodology development across the business areas, with the intention to create a DPM as a bridge between the functional design of a reporting framework – “the business templates” – and the technical design of an XBRL taxonomy.
XBRL is a standardized language used for transmitting and analyzing financial data. The XBRL Taxonomies present the data items, business concepts, relationships, and validation rules described by the DPM in the technical format of an XBRL taxonomy. The “X” in XBRL stands for “eXtensible,” meaning that it is possible for the authority, depending on the framework in which it operates, to extend a taxonomy so that it best reflects its own unique nature.
Over the years, the DPM methodology has significantly developed and has been integrated into the current taxonomies used by EIOPA and national authorities to extend their models. Another example is the European Banking Authority (EBA) model for the banking domain. This approach presents data in a business-friendly, non-technical manner while maintaining compliance with legal requirements. By incorporating multidimensional and semantic perspectives, DPM enhances data understanding, highlights relationships between business terms, and improves analytical capabilities.
This evolution continues through the DPM Alliance, bringing together the EBA, EIOPA and European Central Bank (ECB) to jointly govern and evolve the DPM standard. The proposed DPM 2.1 metamodel builds on DPM 2.0 and is intended to support greater convergence across statistical and supervisory reporting.
Read our insight
DPM 2.1: Building the foundation for integrated statistical and supervisory reporting
Solvency II Taxonomy EIOPA
To maintain high-quality services in this area, EIOPA is focused on automating taxonomy production, minimizing errors, and reducing the impact of business and technical changes in reporting implementation. Since October 2022, EIOPA is using Regnology Metadata Modeller, a collaborative metadata management and modelling tool, to support taxonomy development. Already adopted by several central banks and national competent authorities (NCAs), this tool helps users cross-check their understanding of data requirements.
EIOPA aims to maintain the approach of issuing one taxonomy release per year to streamline updates and minimize the number of taxonomy publications, allowing stakeholders to plan and adapt more efficiently. To support stakeholders in planning for these changes, EIOPA publishes a Taxonomy Roadmap setting out applicable taxonomy versions and reporting deadlines. For Solvency II, Taxonomy 2.8.2 remains applicable through Q4/Annual 2026, with Taxonomy 2.10.0 applicable from Q1 2027.
The EIOPA Taxonomy Roadmap for submission deadlines is available on EIOPA's official website.