Explore a 13-minute conference talk from Conf42 DevSecOps 2024 that delves into the critical role of data analytics in securing pharmaceutical product launches. Learn about the unique challenges faced during drug launches and how predictive models combined with real-time data can enhance security measures. Discover essential Key Performance Indicators (KPIs), effective doctor segmentation strategies, and real-time engagement techniques through a detailed case study of a Type 2 Diabetes drug launch. Gain valuable insights into implementing real-time analytics infrastructure and understand industry best practices for maintaining security in pharmaceutical data analytics. The presentation concludes with practical recommendations and key takeaways for professionals working at the intersection of healthcare, data security, and analytics.
Data Analytics for Security in Pharmaceutical Launches
Overview
Syllabus
00:00 Introduction to Pharmaceutical Sales Data Analytics
00:56 Challenges in Drug Launches
01:53 Predictive Models and Real-Time Data
02:33 Key Performance Indicators KPIs
03:32 Doctor Segmentation and Real-Time Engagement
04:37 Case Study: Type 2 Diabetes Drug Launch
06:05 Real-Time Analytics Infrastructure
08:07 Best Practices and Recommendations
11:18 Conclusion and Key Takeaways
Taught by
Conf42
