Description: Why small insurance companies should act now to enhance their reporting and analytical capabilities -How to start -Critical factors of success

Description: Panel dicussion on the need for information to keep a block of long-term care insurance profitable: what the business risks are, what is being done to mitigate them, what kind of reports are needed, and how these differ from reporting on other types of health insurance.

Description: Chairperson's Corner

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: This article addresses the importance of having database software that properly handles changes concerning time = Temporal Issues.

Description: 1998 Valuation Actuary Symposium. The panelists discussed the benefits of data integration, data warehousing, what OLifE is now, and what it is projected to be in the future.

Description: There are many factors driving digitalization but a reliable and meaningful data architecture is the basic prerequisite to a successful digitalization strategy.

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.