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FEBRUARY 2015 Research Alert

This month we added four new studies to the Best Practice Database, the research repository for Best Practices, LLC. Two of the new studies deliver benchmarks and insights on how functions within medical affairs are approaching various aspects of Big Data utilization. Another study reviews the riches to rags story of Incivek, the hepatitis C treatment that became the fastest drug launch in pharma history and then left the market after 3 years. The Incivek case study looks at the factors that made the launch so successful. The last study looks at the data types and sources that commercial functions are using for Big Data endeavors.

The new Best Practices, LLC studies listed below under Newly Added Research explore how leading companies have made their operations more effective across these different areas.


Download: Incivek Case Study: A Well Planned and Executed Launch Makes the Most of a Small Window of Opportunity (ID 5346)
This case study reviews how Vertex meticulously planned and executed Pre- and post-launch multimedia education programs for patients and HCPs, financial assistance programs for patients and a positioning strategy that won over patients and physicians.
Download: Big Data in Pharma: Information Types and Sources for Big Data Utilization Across Commercial Functions (ID 5349)
Best Practices, LLC undertook this study to probe current trends and best practices in commercial functions utilizing Big Data. The study offers key benchmarks around what types of data organizations are using most frequently as well as the data sources they find most useful.
Download: Big Data in Pharma: Structure and Governance for Big Data Utilization Across Medical Affairs Functions (ID 5348)
Best Practices, LLC undertook this study to better understand the structure and governance approaches the biopharmaceutical sector is taking insofar as Big Data utilization by the medical affairs function.
Download: Big Data in Pharma: Information Types and Sources for Big Data Utilization Across Medical Affairs Functions (ID 5347)
This study offers responses from medical affairs participants regarding key benchmarks around what types of data companies are using most frequently as well as the data sources they find most useful. It presents metrics around what internal and external groups request and find the most value in Big Data presentations.

 
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