Case Study: Datassential achieves faster, more accurate data cleansing and reduced labor with Data Ladder's DataMatch Enterprise

Speed is the recipe for success for Data Cleansing needs

Datassential, a leading menu research firm serving foodservice and retail clients, faced slow, resource‑intensive processes for assembling and reconciling large volumes of menu trend data using Microsoft Access. To speed deduplication and category‑based matching, Datassential engaged Data Ladder and its DataMatch Enterprise™ solution.

Data Ladder implemented DataMatch Enterprise™, enabling multiple match definitions to run at high speed with user‑friendly tools; this improved deduplication, matched client requests to Datassential’s databases more quickly, and significantly reduced labor hours while increasing accuracy. Data Ladder’s solution delivered faster processing, better match rates and tangible operational efficiencies for Datassential.

Datassential

Becky Farmer

Senior Manager, Special Data Projects