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Buckle Case Study

For Data Deduplication Needs, Size Matters

DataMatch Enterprise provided a usable and more efficient solution for Buckle. The company was able to run a large amount of records through the deduplication process as one project through one software tool as opposed to using several different methods.

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, Buckle Case Study Landing Page
, Buckle Case Study Landing Page
, Buckle Case Study Landing Page
, Buckle Case Study Landing Page
, Buckle Case Study Landing Page
, Buckle Case Study Landing Page
, Buckle Case Study Landing Page
, Buckle Case Study Landing Page
, Buckle Case Study Landing Page
, Buckle Case Study Landing Page

This case study will help you:

  • Analyze how the company was able to dedupe thousands of duplicated customer records and create a clean, updated master record using DataMatch Enterprise.
  • Discover how 10 million records stored in the form of multiple data sources and projects were deduped in just a matter of days.
  • Identify the role DataMatch Enterprise can play in helping retailers with millions of customer records with data cleaning and matching.

The main benefit of DataMatch Enterprise was the fuzzy logic and synthetic matching. It was just something I couldn’t reproduce myself.

Marty Yantzie – PC Support & Systems Development Manager