The Challenge
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.
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