Nov 06, 2022
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Novo Nordisk
Completed

Novo Nordisk

$100,000+
more 1 year
United States
10+
view project
Service categories
Service Lines
Software Development
Design
IT Services
Domain focus
Healthcare
Other
Programming language
Python

Challenge

Organizing an Overwhelming Amount of Data Like many large pharmaceutical companies, Novo Nordisk had access to numerous insurance data feeds. These feeds are expensive, and with the ability to organize them, the company benefited the way it should have been. National and regional account managers needed help accessing what was relevant to their service area and accounts because of the sheer volume of information at their fingertips. Quickly Interpreting Data to Meet Goals of Healthcare Exchange Initiatives Novo Nordisk’s Market Access Group was launching initiatives that addressed new healthcare exchanges. They needed their account managers to understand and navigate these healthcare exchanges more accurately and efficiently.

Solution

Partnered with a Market Access Group to Identify Business Goals We learned the pharmaceutical business domain and started with a discovery period to understand internal processes/goals. We established a set of concrete challenges to overcome. Built Medix Tool to Ingest and Analyze Data As a technical solution to business problems, we built a market access-specific CRM and decision support system from scratch called MEDIX to create and maintain strategic and tactical level account plans more streamlined. Became Trusted Vendor for Additional Tech Initiatives After completing the MEDIX system, MEV provided additional technical support to the market access group. It included executing several tactics (IVAs and a custom-built data analytics solution).

Results

1. Built a tool that supported an internal sales force of about 2000 people 2. Created a coherent system for their market access group to work on, which enabled better business transparency & efficiency 3. Provided a tool that let Novo Nordisk have a way of looking at consistent data sets, so they could figure out ways to structure big accounts 4. Built a framework that business and account executives could use to drive business 5. Provided one process, one tool to support that process, and one way of looking at data, which maximized the value of the data they were already paying for