Big Data Panel Discussion Big Data in the context of the Pharmaceutical Industry Curtis Smith November 30, 2016

Big Data and the Pharmaceutical Industry There has been substantial change to the Pharmaceutical data environment over the last 5 years. Patient record data Great leap forward in data management (cloud based computing) Growth in analytic modeling and data visualization tools This has created great opportunities and challenges for the pharmaceutical industry … Opportunities that can be more fully leveraged through academe/industry collaboration.

Opportunities for Collaboration Educational: Building Skills Course content to build skills Internship opportunities to practice skills Capability Development: Creating Tools/Processes Methodology Development Decision Support Organizational Change Management

Educational: Valuable Set of Skills Business Analytic Skill Sets: 5 key domain areas Problem Solving: Ability to understand the underlying business issues and develop analytic plan to address issues. Methodology: Understand analytic techniques. Business Knowledge: Understand general business practices (finance, marketing, sales). Team work: Ability to work within a team frame work. Communication: Ability to clearly and succinctly communicate recommendations.

Capability Development Methodology Development: Advancements in traditional analytic techniques as well as Data Science approaches. Techniques to drive insights from large volumes of often unstructured data. Decision Support: Decision support tools that will effectively support organizational decision making (data visualization, predictive analytics, simulation). Organizational Change Management: Processes to support the change management required to leverage the data insights.