Case Study #3 | Ivy Tree Advisors

Commercial Strategy: Pharma Real-World Data strategy

Designing the Future: Strategic Vision for Real-World Data in Pharma

Objective: To establish a comprehensive framework for measuring and articulating the value of real-world data initiatives, aligning long-term strategic vision with quantifiable impacts.
Activities and Deliverables:
- Interviewed executive stakeholders to refine and detail a 1-5 year strategic vision for real-world data capabilities, including AI and predictive modeling.
- Created and presented case studies demonstrating the value creation and impact of real-world data initiatives to ensure clarity and stakeholder alignment.
- Developed a clear, detailed framework for discussing and justifying future investments in real-world data, setting the stage for strategic decision-making and prioritization of initiatives.

The commercial data team at a top 3 Pharma company faced challenges in articulating a long-term strategic vision for the development and impact of real-world data capabilities, with a lack of clarity around the quantifiable impact to justify multi-year investments.
Stakeholders were uncertain of the tangible benefits derived from funding data activities, highlighting a communication and understanding gap within the organization regarding the value of data initiatives.
Aimed to establish a clear, quantifiable framework that would demonstrate the value creation potential of real-world data to senior executives and commercial stakeholders.

Develop a comprehensive framework for measuring value creation from real-world data capabilities, making the strategy and its benefits more accessible and understandable to senior executive audiences.
Parse out and refine the activities and strategies at one level of the organization, providing an additional layer of detail to ensure clarity and engagement from all stakeholders.
Interview executive stakeholders to collaboratively refine the strategy, focusing on detailing a 1-5 year vision for each major initiative, including global data sets, AI, and predictive modeling.

Conducted in-depth interviews with all executive stakeholders to gather insights and collaboratively refine the long-term strategic vision for real-world data capabilities.
Developed detailed case studies showcasing the value creation impact of the group's initiatives, emphasizing the role of global data sets, AI, and predictive modeling in enhancing Pharma commercial strategies.
Articulated a clear, detailed 1-5 year strategic vision for each major initiative, ensuring alignment and understanding across the organization.

Achieved significant satisfaction from the client and executive stakeholders, who appreciated the precision, detail, and clarity provided by the new strategic framework.
Established a robust framework for ongoing discussions within the organization, allowing for a better articulation of the benefits, priorities, and sequencing of real-world data initiatives.
Enhanced organizational understanding and commitment to real-world data strategies, paving the way for informed decision-making and strategic investments in data capabilities.

Solidified the company's position as a leader in leveraging real-world data for commercial success, setting a benchmark for strategic planning and execution in the Pharma industry.
Fostered a culture of data-driven decision-making, ensuring long-term investments in data capabilities are aligned with tangible value creation and strategic objectives.
Enhanced stakeholder engagement and collaboration, leading to a more coherent and unified approach to harnessing real-world data for competitive advantage and innovation in drug development and market strategies.