Streamlining Commercial Analytics for a Mid-Size Pharma Company

The Challenge

A mid-size pharmaceutical company faced inefficiencies in managing multiple commercial workstreams. Operations were distributed across in-house teams and two vendors, leading to delays, errors, and weak coordination among stakeholders. Analytics and insights were deprioritized, resulting in limited data-driven decision-making and suboptimal commercial strategy execution.

ProcDNA's Solution

Identified Key Issues

Diagnosed gaps in documentation, process standardization, and team coordination.

Implemented Best Practices

Introduced detailed checklists and automated QA/QC frameworks for accuracy and efficiency.

Centralized Data Management

Set up an AWS-based Common Data Layer to unify data across vendors and workstreams.

Built Integrated Teams

Formed a multidisciplinary U.S.-India Analytics team to enhance collaboration and insights.

Enhanced Team Flexibility

Cross-trained team members to optimize resources and improve adaptability.

Established Prioritization Frameworks

Created clear prioritization checkpoints and escalation processes for swift issue resolution.

Impact

Improved Accuracy

Achieved six consecutive quarters of 99.9% operational accuracy across alignment, quotas, incentive compensation, reporting, and ad-hoc analytics.

Revenue Growth

Supported a 40% product revenue increase for a 2-year-old dermatology brand through optimized commercial and analytics processes.