Retail
Data Management
Global Customer View for Luxury Jewelry & Specialty Retailer
- Founded in 1837 in New York, synonymous with elegance
- $4.4B in sales
Business Need
- More thorough understanding of customers and contacts – cleansed, matched, and consolidated data
- Reduce cost through eliminating manual efforts
- Provide monthly customer data match results to Business team
- Improve decision making
- Improve customer experience
- Accelerate merger analysis
Challenge
- High data volume – 35M records
- High level (20%) of duplicate customer records
- Time consuming manual methods result in inefficiencies and poor campaign execution
- No standardized process to validate customer/prospect characteristics
- Addresses incorrect across multiple sources, resulting in excessive mailings and incomplete campaigns
- Data inaccuracies, disabling active merger
Solution & Results
- Established standardized and future-proof data quality mechanism to automate data validation
- Increased data match success rate to 99%, removing manual efforts of 3-4 analysts
- Increased efficacy of targeted marketing
- Processed ~35M customer records through MDM match processes 4X faster than traditional custom approaches – $800K in implementation approach savings
- ~$250K annual savings through real-time, high quality data for monthly customer record matching, removing redundant data management activities
- Provided data management architecture advisory services for dynamic future
ecommerce proliferation - Enabled analysis for $15B luxury goods merger