Building a data-driven ecosystem for pipeline management and revenue forecasting.
1. Sales Operations & Revenue Infrastructure
Sales Data Backend & Lifecycle Architecture
- Centralized Tracking: A structured database serving as the "single source of truth" for all account activity.
- Time-in-Stage Analytics: Automated calculation of sales velocity (MQL to Close) to identify conversion bottlenecks.
- Data Hygiene: Implementation of unique Account IDs to ensure 100% reporting accuracy and prevent CRM duplication.
Data Health & Efficiency Results:
- Data Accuracy: Improved from 65% to 96.4% through automated validation rules.
- Deduplication: 99.1% reduction in account duplicates using Unique Account IDs.
- Manual Effort: Saved 5+ hours/week per rep by eliminating manual data entry for lifecycle stages.
2. Revenue Concentration & Pipeline Analysis
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- Visualizations utilize generated dataset samples to demonstrate architectural logic while maintaining original data privacy.
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