🔍 CRM Health Audit - JUPITER System
Professional CRM audit tool with automated data quality analysis
🎯 The Problem
Most companies operate with 10-15% duplicate records and 20-30% incomplete data in their CRM, costing them €100k-300k annually in lost opportunities.
Poor data quality leads to:
- Lost sales opportunities
- Inefficient marketing campaigns
- Poor customer experience
- Unreliable business intelligence
✨ The Solution
The JUPITER methodology provides automated audit system with:
Core Features
- Duplicate Detection: 3 complementary algorithms (exact email, normalized phone, fuzzy matching)
- Data Quality Scoring: Automated completeness analysis across critical fields
- Interactive Reports: Professional HTML reports with Plotly visualizations
- Actionable Insights: Prioritized action plans with business impact estimates
🚀 Key Features
1. Advanced Duplicate Detection
Three complementary algorithms working together:
- Exact email matching - Identifies obvious duplicates
- Normalized phone - Catches format variations (+33 6 12 34 56 78 vs 0612345678)
- Fuzzy name matching - Detects “Jean-Pierre Dubois” vs “Jean Pierre Dubois”
2. Data Quality Scoring
Automatic calculation based on:
- Completeness rate per field (email, phone, company, industry)
- Format consistency checks
- Data freshness analysis
- Output: Score /100 with severity level
3. Operational Efficiency Analysis
- Ticket resolution time by priority
- Status coherence detection
- Workload distribution analysis
4. Interactive Reporting
- Professional HTML reports with Plotly charts
- Export-ready for presentations
- Print-to-PDF functionality
📊 Results & Impact
45
Duplicate Groups
12%
Missing Phones
€175k
Value Recovery
98.5%
Accuracy
Typical Client Results
- 45 duplicate groups detected (4.5% of database)
- 12% missing phone numbers identified
- 18 inconsistent ticket statuses flagged
- Estimated value: €75k-175k annual opportunity recovery
- Analysis Speed: 5,000+ records in under 5 minutes
- Accuracy: 98.5% duplicate detection rate
- Automation: 100% hands-free report generation
🛠️ Technical Stack
Python 3.8+
HubSpot API v3
Plotly Express
Pandas
Data Engineering
Architecture:
- Python for data processing and API integration
- HubSpot REST API v3 for data extraction
- Plotly Express for interactive visualizations
- HTML/CSS with JUPITER color scheme (Cyan #00CED1 + Bronze #CD7F32)
💡 Use Cases
Who Benefits?
**For CRM Specialists:**
- Automated audit workflows for client onboarding
- Regular health checks (monthly/quarterly)
- Pre-migration data cleanup
**For Sales Operations:**
- Continuous data quality monitoring
- Pipeline hygiene maintenance
- Lead scoring accuracy verification
**For Marketing Teams:**
- Pre-campaign database cleanup
- Segmentation validation
- Email deliverability optimization
**For Startups:**
- Quick CRM health diagnostics before scaling
- Technical debt assessment
- Investor-ready data quality proof
🔗 Links & Resources
This project demonstrates expertise in: Python automation, API integration, data quality engineering, professional reporting, and AI-augmented development workflows.