Customer Story Video

At Regeneron Pharmaceuticals, JMP Live became a vehicle for enterprise analytics 

How standardizing around a unified vision changed the culture, enabling scientists and engineers to spend their time consuming analytics instead of just processing data.

Diana Nadler

Diana Nadler

Manager of Continuous Improvement Statistics, Regeneron Pharmaceuticals

Diana Nadler has worked in the health and pharmaceutical industries for 16 years and is currently Manager of the Continuous Improvement Statistics team at Regeneron Pharmaceuticals. Prior to joining Regeneron, she worked at a local health insurance company where she directed the strategic development and delivery of pharmacy analytics in partnership with senior-level executives and clinical pharmacists to address analytic barriers and identify actionable cost savings. She also worked for the New York State Department of Health Medicaid program performing health outcomes research and developed a payment model for Medicaid Long Term Care reimbursement. 

Nadler first began using JMP when she joined Regeneron and recently deployed JMP Live to create a shared workspace to facilitate collaboration and efficiencies across the globe. Her team utilizes JMP in the company’s statistical training program and provides feedback on JMP product development to identify new software features that support Regeneron’s growth. She uses her expertise with advanced statistics, business analytics and data visualization to deliver critical results for data-driven business decision making. Nadler partners with scientists, engineers, IT and administrative functions across the company to implement and deliver data analytics and statistics to the business. She received her PhD in Biostatistics from the University at Albany School of Public Health.

The results illustrated in this article are specific to the particular situations, business models, data input and computing environments described herein. Each SAS customer’s experience is unique, based on business and technical variables, and all statements must be considered nontypical. Actual savings, results and performance characteristics will vary depending on individual customer configurations and conditions. SAS does not guarantee or represent that every customer will achieve similar results. The only warranties for SAS products and services are those that are set forth in the express warranty statements in the written agreement for such products and services. Nothing herein should be construed as constituting an additional warranty. Customers have shared their successes with SAS as part of an agreed-upon contractual exchange or project success summarization following a successful implementation of SAS software.