Description: As the insurance industry struggles along with the rest of its financial services brethren to operate in the current global recession, it must consider the true value of innovation. Insurers should reduce the focus on improving what they know how to do and look to what they could be doing in light of the change that swirls around them.

Description: Summary of methods and standards to use to achieve an efficient, maintainable model

Description: Each of us has our own unique talents and approaches to solving problems.

Description: As we further explore how life insurance customers think and behave, we can address their needs more effectively. Using data and predictive analytics we can better identify groups to target. By embracing technology and approaching customers with the right distribution channels based on preference, we can make life insurance more accessible. We can speak the customers' language. We can understand that they are not all created equal, and tailor products to meet individual needs. In short, we can leverage data, research and technology to become very consumer centric. Getting closer to the customer, can we lower the perceived cost, and raise the perceived benefit of life insurance to a point where customers get excited? Will this not then be a product to buy, not sell?

Description: A strategy is shown to yield greater amount and sustainability of retirement income by coordinating draws from retirement savings and home equity.

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