Case studies of best practices in solving technology driven intelligence problems from the healthcare and life science sector and how they used intelligence software systems to understand risk, create value, and drive performance and success.

The first generation of competitive, business and market intelligence systems were designed to produce asymmetries of information between a company and the forces of risk arrayed against it. But ubiquitous, real-time open source information access has given desktop access to even the most granular of industry and market information.

There are a variety of tools that can help automate the routine information processing activities of a company’s intelligence team so they can see indicators of change more clearly, think ahead about what and how to manage their businesses, and make decisions that create breakthrough value for customers and performance for the company.

Register Now