Maxeda, a European retailer, successfully unified customer data across two countries, resulting in a 25% increase in marketing campaign efficiency and a 15% reduction in customer service costs.
Quick Reliable Printing consolidated 15 client mailing lists into a single master record, significantly improving data accuracy and reducing printing costs by 15%.
CASE STUDY Departments of Education from the States of Nevada, Virginia, Connecticut, and Massachusetts
Data Ladder's record linkage software helped state-level education systems improve data linkage accuracy to 97%, up from the industry standard of 85%. The solution nearly doubled the identification o...f post-secondary students, increasing rates from 22% to 41%. Schools used Data Ladder to better track student outcomes and make informed decisions. The improved data quality led to better student success rates and more effective policies. Educators and policymakers benefited from real-time, accurate data for decision-making.
DataMatch™ helped West Virginia University link medical records from different systems. The university needed to study long-term health impacts but had data in separate places. Using DataMatch™, they... cleaned and matched records to create a single view of each patient. This saved a lot of time and made their research faster. The solution let them combine records with high accuracy and respond quickly to research needs.
DataMatch Enterprise helped Attainment Company clean and deduplicate customer entries in their CMS. Attainment needed a faster way to remove duplicates from customer lists collected at trade shows. T...heir old manual tool was hard to use and did not support new data formats. DataMatch Enterprise offered an easy interface, SQL integration, and a 30-day trial. The team found it fast and powerful for finding and removing duplicates. The tool's name and address transformations helped standardize data quickly.
DataMatch Enterprise helped Lawyer.com clean and standardize their data. Lawyer.com needed to remove duplicate records from their SQL-based company database. Their manual process was slow and not acc...urate. DataMatch Enterprise let them find and remove duplicates in minutes. The tool was easy to use and did not require changes to source data. Lawyer.com liked the customization and speed of the solution.
DataMatch Enterprise helped Zurich Insurance Group fix problems with duplicate payee names in their main database. The company used fuzzy matching and data cleansing to clean up vendor names and remo...ve special characters. They created unique IDs for each record. This made it possible to create accurate reports and process payments without errors. DataMatch Enterprise is now the main tool for data cleansing and matching at Zurich.
Bell Bank successfully used Data Ladder solutions to consolidate data, eliminating silos and achieving a unified customer view, enhancing personalized service across its extensive operations.
DataMatch Enterprise helped St. John Associates clean and dedupe their recruitment database. The company had been doing this work manually for years. With DataMatch Enterprise, they automated data cl...eaning and matching. This saved them hundreds of person-hours each year. The tool was easy to use and made merging and purging records fast and simple.
TurnKey Auto Events used DataMatch from Data Ladder to improve sales lead tracking for car dealerships. They faced problems matching sales to leads and removing duplicate data using Excel. DataMatch ...helped them match records from many sources and clean their data faster. They saved time by removing duplicates and matching lists quickly. This let them find more matches between dealerships and customers and cut project hours. They expect to see higher revenue as they keep cleaning their databases.
ProductMatch helped VitalWare automate the standardization of medical terminology across varied data sets. Before, VitalWare did this work manually, which was slow and hard to keep consistent. With P...roductMatch, they could apply rules and definitions to their data much faster. The company reached a new level of standardization and improved the speed of their process. VitalWare liked how ProductMatch could categorize data in the way they needed.
DataMatch Enterprise helped a Fortune 500 company speed up its merger process. The company used the software to find and fix data quality issues fast. They merged data from five systems and found 25%... more matches than with other tools. The company finished the merger two months early. They saved hundreds of thousands of dollars and improved productivity.
