The problem: Fragmented data sources, systems, and functional siloes–and unclear strategy
A global pharmaceutical company faced a high-pressure situation: launching a newly acquired asset in an unfamiliar therapeutic area, under aggressive timelines. The brand team—transferred from a previously successful launch—had to act fast to build a strategy, but faced a tangle of internal complexity. The infrastructure they inherited included:
- Multiple versions of core technologies across departments
- A consultant-heavy and slow model for gathering insights
- Siloed teams and disparate data for competitive intelligence, field insights, social listening, and analytics
This patchwork approach made it difficult to align on a single source of truth or drive unified action across commercial and medical teams. Insights had to pass through layers of vendors before informing any decisions, wasting time and slowing momentum.
The solution: Consolidate intelligence, deploy smarter AI, and enable real-time collaboration, resulting in a clear and actionable strategy
Building a cross-functional launch engine
To address the inefficiency, the head of commercial marketing reorganized the launch structure. The company brought in Within3 to help unify data, eliminate unnecessary handoffs, and create a truly collaborative model between medical and commercial.
A “tiger team” was formed, blending both functions and supported by Within3’s platform. Instead of waiting for insights to be filtered through layers of consultants, both teams could now access aligned business intelligence directly.
Tackling the data chaos
The first challenge: Untangle a complex data environment with a mix of structured and unstructured inputs from multiple teams. Within3’s team began by:
- Scanning and reading existing data schemas
- Mapping where the data was stored, how it is accessed, and the update intervals (to ensure timely relevance and determine usability of data elements)
- Involving internal teams to determine what was signal vs. noise
Using this evaluation, they streamlined the intake of relevant data and eliminated waste, enabling a faster analysis and cleaner flow of insights into decision-making channels. The Within3 approach saved the team weeks, if not months, of data integration and cross-validation.
Applying AI to drive long-term strategy
Rather than throwing generic AI platforms at the problem, Within3 deployed targeted, domain-intelligent engines to work in concert, focusing on longitudinal trends, not one-time spikes. This allowed the team to:
- Ensure the business outcomes are aligned from the outset to leverage the correct domain-specific AI and social network analysis (SNA) models
- Identify impactful HCP and patient behavioral patterns across markets and time
- Enabled proactive strategic planning from the start and over time, not just reactive action
The key advantage? The client no longer felt overwhelmed by endless data. Instead, they received clear, evolving intelligence that aligned with launch priorities and could be trusted across both functions.
Bridging the medical-commercial divide with compliant inference
One of the toughest challenges in pharma is the firewall between medical and commercial data. Within3’s approach respected compliance boundaries while still enabling insight sharing. Instead of exposing raw data, the team used inference-based outputs, such as heat maps showing regional trends across treatment behavior, to inform medical strategy without violating legal or governance standards.
This approach allowed medical affairs to confidently engage with insight-driven strategy, while keeping regulatory stakeholders on board and allowed marketing to quickly finalize their go-to-market strategy.
The outcome: Speed, clarity, and a repeatable launch framework
By breaking down silos and consolidating insight, the company:
- Enabled real-time collaboration between commercial and medical
- Replaced consultant bottlenecks with direct access to intelligence
- Created a longitudinal view of market dynamics
- Moved faster with less risk and more confidence
Pharma organizations can move quickly and compliantly—even in unfamiliar territory—by unifying their data and empowering cross-functional teams. Schedule a demo to discover how we can help you apply AI to amplify human decision-making.
