Enabling Smarter Commercial Model Experimentation

Numerous publications, blogs, etc. have reported how quickly the pharmaceutical industry is changing and how manufacturers need to modify their approaches and structures to survive the competition. The pace of change necessitates that Pharma companies undergo a transformation; with organizations expanding the capabilities of their commercial models through smarter experimentation, scalable measurement, faster learning, and dynamic decision making regarding their commercial models.

A transformation of this nature is not necessarily easy to implement. A number of barriers may need to be addressed as Pharma organizations look to experiment and adapt their commercial model. Corporate cultures, infrastructure, and established processes need to be reviewed, evaluated, and perhaps modified.

This white paper discusses the challenges and potential approaches around creating a “continuously experimenting, continuously learning, continuously adapting” organization.

Click here to get the whitepaper

Tags: Sales and Marketing, Life Sciences, Blog, Analytics, Pharmaceuticals, Commercial Model, Industry

Mike Diggin

Mike is an experienced leader in the Pharmaceutical industry with extensive background and expertise in streamlining operations, developing insightful analytics and building strategies for new and existing markets. He has over 25 years of experience in the Industry, a majority of which focuses on leadership roles in Managed Markets and Commercial Operations. Mike holds an MBA from the Lubin School of Business, Pace University with a concentration in Management Information Systems. He holds a Bachelors in Business Administration from Siena College in Albany N.Y.

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