Implementing Predictive Models: Making Insights Actionable

So you've developed a predictive model, now what? Seamlessly integrating a predictive model with the reporting and operations systems is often the most challenging part of the advanced analytics process. Don't over-complicate the process! In this presentation we will demystify predictive model implementation and show many examples of integrating and visualizing predictive model results using standard database and business intelligence reporting infrastructure features, allowing business users and systems to leverage predictive results in the most efficient ways.

This session will help users leverage their existing toolsets to facilitate integration of predictive models within their existing business intelligence and operational systems. This will help organizations bring predictive models to users quickly and assist organizations in leveraging valuable predictive models faster.

Hillary Bliss is a Senior Decision First Technologies (a Protiviti Enterprise), and specializes in data warehouse design, ETL development, statistical analysis, and predictive modeling. She works with clients and vendors to integrate business analysis and predictive modeling solutions into the organizational data warehouse and business intelligence environments based on their specific operational and strategic business needs. She has a master’s degree in statistics and an MBA from Georgia Tech.