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