As the deadline for Solvency II approaches, many insurers are assessing the best approach to delivering the Pillar III reports required by EIOPA. Many recognize the challenges of data consolidation, data cleansing, calculating accurate results and formatting reports to submit to the regulators.
This paper is the first in a series of short whitepapers where Brian Heale examines the major challenges and issues insurers face for report production, data management, and SCR calculation for Solvency II. The series of papers also examines the approaches insurers have taken in their Solvency II projects to date.
The way insurance and investment products are distributed and managed in the future will undoubtedly change, but firms can benefit from the new paradigm. This article addresses how financial institutions can remain competitive by delivering intuitive customer journeys at a low cost using the latest technology.
In this paper, we look at the latest developments in the Quantitative Reporting Templates. We consider how insurers can address the challenge of maintaining Solvency II reporting systems to keep pace with the changing and emerging regulatory requirements.
This article details the organizational and data challenges that insurers face when harnessing the historical and forward-thinking information needed to create interactive dashboards.
In this White Paper, we look at the challenges that insurers, fund managers and market data providers face in providing and aggregating the asset data required for the completion of the QRT templates and the SCR calculation.
In this interview, Moody's Analytics Senior Director Brian Heale shares his unique expertise on insurance and Solvency II. Learn how global regulations, demographic trends, and technology will impact insurers over the next few years and how they can best prepare for the changes.
This article focuses on developing an effective data management framework for the analytical data used for regulatory and business reporting.
This Whitepaper explores how the Solvency II Solvency Capital Requirement (SCR) calculation process can be automated to facilitate efficient and timely regulatory reporting. The SCR calculation process is complex, requiring significant data consolidation, cleansing and transformation to produce accurate and consistent results.
This publication addresses the full spectrum of data challenges: data governance, data quality, tactical and strategic reporting,
This article looks at the inherent analytical data quality problems in the insurance industry and how to improve them.