Case Study: Leading Local Education Agency achieves 95% reduction in data-cleaning time with Data Ladder's DataMatch™

School District Improves Productivity Through Data Parsing

Leading Local Education Agency, a southern U.S. school district overseeing 41 elementary, middle, and high schools, was struggling to generate accurate student counts because staff spent weeks manually cleaning and standardizing over 32,000 address records—scrolling through records, removing characters, and formatting data for reporting. They engaged Data Ladder and its DataMatch™ product to address this challenge.

Data Ladder implemented DataMatch™’s standard address parsing and cleaning tools, cutting the user’s data-cleaning time from roughly 10–14 days to about 16 hours—a nearly 95% reduction—while saving on worker wages and removing the need for outside support. With Data Ladder’s software and customer service, the district achieved faster, more consistent reporting, and benefited from DataMatch Enterprise’s proven higher match rates (about 5–12% more matches than IBM and SAS in studies).