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: 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: While medical and pharmacy claims data is a well-established source for healthcare analytics, significant data can be found elsewhere in electronic medical records (EMRs) and in hospital admit, discharge, and transfer (ADT) messages. Increasing availability of bulk EMR data to analyze coupled with more powerful and specialized tools for analyzing it presents an opportunity for actuaries to incorporate these sources in their work. This session will take a look at some of the data available beyond claims in EMRs and HL7 ADT messages, and will discuss case studies, with consideration around structure, ease of use, cleanliness, and tools available for analyzing these data types including natural language processing.

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.

Description: Presenters examined the importance of good data management in the current competitive marketplace. Analysis of your data can be split into three components: 1. Are you getting the quality and timely data? 2. Are you able to process it? 3. Are you able to use the information?

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: 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: 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: This presentation is a panel discussion, session 32PD, from the 2004 Spring Meeting of the Society of Actuaries, held May 19-21 in Anaheim, CA. The concept of data warehousing means different things to different people. For actuaries, the primary focus is on improved access to timely information and applications that enable them to work more efficiently and produce better results. The panelists discuss the business side of data warehouses, noting that the real value in a data warehouse, or in an analytic platform, is whether you can actually use the data after you get it out, and discuss experiences in building data warehouses for actuaries in life and health companies. Discussion from participants is included. From the Record of Society of Actuaries, Volume 30, No. 1.