Solvency II Publications

The Solvency II Directive introduces strict requirements for data quality. This paper outlines the main data quality requirements and provides best practices for data quality assessment and management, including types of data quality checks and processes, and audit and checking capabilities. It also demonstrates that a centralised approach to data quality management that leverages technology to automate the process should help insurance companies go beyond greater operational effectiveness and stronger risk-based decision making.

Author: Max Neri
Date: May 1, 2011

The paper demonstrates that managing Pillar 3 in isolation is not recommended and insurers should be taking a holistic approach to Pillar 3 implementation. By building a disclosure strategy, which coordinates implementation of the reporting requirements with the Pillar 1 data management and capital requirements, insurers can create an efficient, effective and robust regulatory risk platform for stronger operational effectiveness and risk-based decision making.

Author: Christophe Burckbuchler
Date: August 31, 2011

Insurance regulations are currently dominated or influenced by the EU-based regulatory framework, Solvency II. With Solvency II, regulators aim to improve both risk measurement and capital planning in the insurance industry which hasn’t undergone regulatory reform since 2006 when Solvency I was implemented. The regulation consists of three pillars: quantitative requirements, supervisory review and market disclosure. This presentation looks at the two approaches insurance firms can take to meet their minimal capital requirements and the wider resourcing and data gathering challenges they face.

Date: March 1, 2011