Description: This paper focuses on the role and design of data bases in the office environment.

Description: This book is all about granularity. The authors envision a data warehouse with information at the policy level or lower .

Description: From a session at the Health/Pension Spring Meeting held in New Orleans, Louisiana June 15-17, 2005 Panelists discuss data standards, and their uses historically, in the present, and in the future.

Description: The authors envision a data warehouse with information at the policy level or lower, and demonstrate how this data can be used to analyze the sources of earnings. The key to their analysis is the data warehouse, which links each policy, not only to valuation assumptions and results, but also to general ledger accounting amounts and to projections - model output that feeds the financial plan.

Description: Applying the new GDPR terms to Actuarial work, to secure private data in portfolios while using those for pricing and reserving modelling in all business lines.

Description: Implementation of GAAP Targeted Improvements will impact data, reporting, resourcing and governance. This provides an ideal opportunity to rethink some of the data and reporting processes currently in place and how they can be improved to create effective and scalable solutions for the future. With the transition date already behind us for public companies and preparation in motion, we will share insights into how organizations have started to tackle implementing the GAAP Targeted Improvements. The presenters will share insights on data and process challenges and possible solutions, as well as a 'smart compliance' approach to comply with the most valuable aspects of compliance. Resourcing strategies for successful implementation will also be discussed.

Description: There is a lot of focus on GTI and its impact on modeling, methodology and transition. However, given the dependencies that exist on the data infrastructure, the implementation of the guidelines is an ideal opportunity to also streamline and improve data storage, data transformation, and reporting processes to create an efficient, effective and scalable data solution. This session will focus on the specific impacts and possible solutions to the following data processes: In force data Experience studies and assumption setting post model data feeds and subledger processes Data warehouse and reporting systems

Description: Medicare Advantage Organizations must consider influences both internal and external to the adjudication process as they review and use data for bid preparation

Description: 1999 SOA Annual Meeting, San Francisco. Presenters examine data warehousing applications primarily of use to actuaries, such as experience studies, profitability analysis, and performance measurement.