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Streamlining Commercial Analytics for a Mid-Size Pharma Company
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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
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Identified Key Issues

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

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Implemented Best Practices

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

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Centralized Data Management

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

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Built Integrated Teams

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

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Enhanced Team Flexibility

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

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Established Prioritization Frameworks

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

Impact
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Improved Accuracy

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

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Revenue Growth

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

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