Data Ladder
29 Case Studies
A Data Ladder Case Study
Global Private Markets Firm, a private markets investment and advisory firm managing billions in capital, needed to identify similarities across multiple large lists and record databases spread over two complex systems. The Monitoring and Reporting Director’s team was at the start of this process and required a scalable way to run large-scale company and record matchings, so they engaged Data Ladder and its DataMatch Enterprise™ solution.
Data Ladder implemented DataMatch Enterprise™ to produce multiple rounds of probable matches quickly, allow side‑by‑side comparison of data dimensions, perform deep data cleansing, and export results to formats like Oracle, TXT, MySQL, and CSV. The solution let the team manually verify matches (even 100% scores) far more efficiently, "scal[ing] our time very well" and representing an estimated savings of thousands of dollars in employee time; Data Ladder also cites that DataMatch Enterprise™ finds roughly 5–12% more matches than leading competitors in studies.
Global Private Markets Firm