Description: Presented at October 1985 Annual Meeting. Discusses: Measures which should be used in setting objectives and in evaluating performance for insurance companies and product lines, Variations that are appropriate for stock and mutual companies and United States and Canadian companies, Qualitative considerations in interpreting and evaluating information by the management reporting system.

Description: You really can have it all: readily available and relevant information derived from consistent and understood data. Getting at the Truth requires a good datawarehouse design and an appropriate business data model. Add a powerful and flexible Web–based analytical interface to get at the data and success in the pursuit of Truth will happen.

Description: Technological innovations are disrupting traditional business models, improving products, and enhancing the user experience.

Description: Meet Nathan Pohle. Nathan is part of a new wave of actuaries bringing diverse perspectives to change the game in life insurance. Armed with an MBA and unique analytics experience in the sports industry, Nathan is harnessing key learnings from Silicon Valley to help life insurance companies tap into the power of predictive analytics in new ways.

Description: Reviews different software and/or language choices for data visualization based on 6 dimensions. Number 4 out of a series of 5 articles on data visualization.

Description: October 2015 issue of CompAct, the technology section's member benefit newsletter.

Description: Introduction to population health, a collaborative discipline that seeks to leverage all the determinants of health personal behaviors, medical care and the public health infrastructure, as well as the social and economic context at the community and national level to maximize the health of populations.

Description: Update on Health Section research projects and topics, including new vision and mission statements for the Health Section Council, research and communications projects, and information about the Health Actuarial Research Initiative.

Description: This article sheds light on the various ways machine learning can uncover patterns within data to add unique value and insights to businesses.