Success StoriesGlobal Customer View for Luxury Jewelry & Specialty Retailer
Founded in 1837 in New York, synonymous with elegance
Business Need
Objectives Driving Transformation
A global luxury jewelry and specialty retailer required a consolidated and accurate understanding of its customers and contacts across regions and channels. Fragmented data and duplicate records limited marketing precision, increased operational cost, and impaired executive decision-making. The organization sought to cleanse, match, and consolidate customer data at scale, automate monthly match processes for the business, and create a future-ready data architecture to support ecommerce growth and strategic merger activity.
- Create a cleansed, matched, and consolidated global customer view
- Eliminate manual data matching efforts and associated costs
- Deliver standardized monthly customer match results to business stakeholders
- Improve marketing effectiveness and campaign precision
- Enhance customer experience through accurate contact data
- Accelerate merger analysis and integration readiness
Establish a unified, high-quality global customer view to improve marketing effectiveness, operational efficiency, and merger readiness.
Challenge
Barriers to Progress
The retailer managed approximately 35 million customer records, with an estimated 20% duplication rate across systems. Manual data cleansing methods were time-consuming and hindered campaign execution, while inconsistent validation processes allowed inaccurate customer and prospect attributes to persist. Address discrepancies across sources resulted in excessive mailings and incomplete campaigns, driving cost inefficiencies and degraded customer experience. Data inaccuracies also delayed active merger analysis and integration planning.
- 35M customer records requiring large-scale consolidation
- 20% duplicate customer records across systems
- Manual match and validation processes limiting scalability
- No standardized mechanism to validate customer/prospect characteristics
- Inaccurate address data causing excessive mailing costs
- Data quality gaps impeding merger analysis
Solution & Results
What Paradigm Enabled
Paradigm implemented a standardized, automated data quality and matching framework to establish a future-proof global customer master. Advanced MDM match processes increased accuracy while eliminating manual reconciliation by multiple analysts. Customer records were processed at scale – four times faster than traditional custom approaches – delivering both implementation and ongoing operational savings. Real-time, high-quality data now supports monthly customer matching, targeted marketing, and executive decision-making, while architecture advisory services positioned the organization for ecommerce expansion and large-scale merger integration.
- 99% data match success rate, eliminating manual efforts of 3–4 analysts
- 4x faster processing of ~35M customer records
- $800K implementation savings through accelerated MDM approach
- ~$250K in annual savings from automated monthly matching
- Increased targeted marketing effectiveness and campaign precision
- Enabled data analysis supporting a $15B luxury goods merger
The retailer now operates with a scalable, governed global customer data foundation that strengthens marketing ROI, enhances customer experience, and supports strategic growth initiatives across digital and merger-driven expansion.
4X
Faster record processing
$250,000
Annual savings via automation