Analytics

Before the days of integrated marketing programs, independent agents or their customer service representatives picked up the phone and called customers in the hopes of retaining the business of the agency's most profitable clients.Times have changed. Today, it's too expensive and time-consuming for an agency to hunt and peck its way through a large client list looking for its most profitable customers-then conceive ways to keep them on board. And it's too expensive for agencies to have a marketing arm or customer service representatives who do anything more than sell, sell, sell.

As the needs and demands of e-business evolve, companies are faced with an emerging security threat. And it's not a new hacking technique or vulnerability in a particular technology.It's complexity-the complexity of technologies, the complexity of balancing business and security demands, and the complexity of relationships among user communities.

Over the years, financial services providers have emphasized that one key to prosperity is conducting business both faster and cheaper.But in their zeal to implement a strategy based on speed and cost-containment, many financial services providers-including insurers-watched it backfire. Rather than generating positive results, they created a series of nonintegrated applications that support separate business lines and products-a silo mentality.

Most insurers and reinsurers espouse a belief that new business doesn't always equal good business. To most insurance providers, the honeymoon period with a new customer ends as soon as claims activity intensifies.

Over the last 18 months, State Auto Insurance Co. has been using an intranet application that provides its independent agents with Web-based access to the company's mainframe for policy rates and applications.

The Internet standards-based approach to software distribution-called Web Services-promises to greatly simplify IT integration of legacy applications. Described as a "Leggo" approach for assembling different "services" from back-office systems-such as rating a policy and submitting a claim-Web services are based on open standards, including XML (extensible markup language), SOAP (simple object access protocol), WSDL (Web services description language) and UDDI (universal description, discovery and integration). As a result, customized integration is greatly reduced.But a battle is brewing between Web services platform vendors vying for market share-in particular, between IBM Corp.'s WebSphere-which is based on the Java 2 Platform, Enterprise Edition (J2EE) platform-and Microsoft Corp.'s .NET. The classic capitalistic struggle between these two camps may make Web services more complicated than promised.

As insurers' expectations for e-commerce revenue tumbled over the past couple years, e-business spending has focused on self-service initiatives such as enterprise portals and agent extranets. But most insurers lack the infrastructure and customer understanding to maximize the return on these and other technology investments, such as customer relationship management.Therefore, insurers need to create financial services hubs: technology platforms for delivering services that span multiple systems.

Some senior insurance executives have a hard time understanding how a seemingly esoteric technology such as artificial intelligence (A.I.) could possibly be used by the insurance industry.This mental juxtaposition is ironic because the potential applications are manifold. And more importantly, the insurance industry was one of the first to widely adopt artificial intelligence technology in the form of expert underwriting systems.

HNC is widely recognized as a leading developer of analytic and decision-management tools. But are carriers ready to turn their important underwriting and claims decisions over to machines?The similarities between fighting terrorism and combating insurance or credit card fraud are not very obvious. However, the Bush Administration's Homeland Security initiative is considering using some of the same technology that's now being applied to identify fraudulent transactions for more than 300 million credit cards worldwide, and by nine of the 10 largest insurance companies.

The surety bond business has long been plagued by razor-thin profit margins, with many providers satisfied just to break even on the issuance of a new product.Most surety bond issuers therefore understand that success hinges on robust volume. But as providers strive to generate greater sales, they're confronted with a troubling reality: processing surety bonds, which are contractual agreements guaranteeing a certain behavior or fulfillment of an obligation, can be labor-intensive.