Whitepaper
June 26, 2023

Transforming Life Sciences Commercial Function with AI and Augmented Analytics

Transforming Life Sciences Commercial Function with AI and Augmented Analytics

In this comprehensive whitepaper, sponsored by WhizAI, Everest Group delves into the business case and the transformative impact that AI and augmented analytics can have on the life sciences commercial function. The discussion spans across various use cases in Sales, Marketing, and Market Access, emphasizing what top pharma enterprises are seeking in an augmented analytics tool. It also provides a strategic roadmap for getting started and a practical blueprint for successful adoption.

This whitepaper is a must-read for industry professionals, executives, and thought leaders who want to understand the full potential of these technologies and learn actionable strategies to thrive in this evolving landscape.

Key Sections of the Whitepaper:

  1. Introduction
  2. The Business Case for Augmented Analytics: Exploring the advantages of using advanced analytics to drive efficiencies and better outcomes in the life sciences sector.
  3. Augmented Analytics in the Commercial Function: How next-gen technologies revolutionize how sales, marketing, and market access teams operate.
  4. The Value That Augmented Analytics Unlocks in Life Sciences Commercial Functions: Insight into how life sciences companies can benefit from faster, data-driven decision-making.
  5. A Roadmap for the Life Sciences Commercial Function: Step-by-step guidance for implementing augmented analytics effectively.
  6. Conclusion: Identify, Prioritize, and Implement: Strategies to maximize the value from AI and analytics.
  7. Appendix: Use Cases in Sales, Marketing, and Market Access Function: Real-world examples of how AI-powered analytics are making a difference.

Learn how WhizAI, an AI-powered analytics platform purpose-built for life sciences, is driving unprecedented efficiency and effectiveness in the commercial function. Read the whitepaper for insights and actionable strategies to stay ahead in this data-driven era.

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