Case Study: Large United States Wholesaler beats two-year merger project deadline with Data Ladder’s DataMatch Enterprise

Large United States Wholesaler - Customer Case Study

Large United States Wholesaler, a $10 billion B2B distributor, faced a complex challenge when combining two very large product data sets during a multi‑million dollar merger: matching and merging records by grouped attributes proved far more difficult than anticipated. To address this, the company engaged Data Ladder and its DataMatch Enterprise product to handle data profiling, cleansing, match configuration, and merge/survivorship.

Data Ladder implemented DataMatch Enterprise templates, cleansing and fuzzy‑matching workflows and provided hands‑on support (email, screen sharing and onsite troubleshooting). The solution cut user training to two–three hours, enabled easy data extraction, and put the wholesaler months ahead of schedule on a two‑year project. DataMatch Enterprise also delivered measurable gains, claiming approximately 5–12% more matches than leading competitors in internal studies.