Detailed tests were completed on 15 different product comparisons with the university, government, and private companies (80K to 8M records). Download this comparison chart to see how Data Ladder compared with IBM Quality Stage, SAS Dataflux, and in-house solutions in terms of
DataMatch Enterprise™ was much easier to use than the other solutions we looked at. Being able to automate data cleaning and matching has saved us hundreds of person-hours each year.
We obtained 24% higher match rate using DataMatch Enterprise™ versus our standard vendor.
We liked the ability of the product to categorize the data in the way that we need it, and its versatility in doing that.
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Inaccurate and incomplete address data can cause your mail deliveries to be returned. In fact, the US postal service handled 6.5 billion pieces of UAA
While surveying 2,190 global senior executives, only 35% claimed that they trust their organization’s data and analytics. As data usage surges across various business functions,
Inaccurate and incomplete address data can cause your mail deliveries to be returned. In fact, the US postal service handled 6.5 billion pieces of UAA
While surveying 2,190 global senior executives, only 35% claimed that they trust their organization’s data and analytics. As data usage surges across various business functions,
92% of organizations claim that their data sources are full of duplicate records. To make things worse, valuable information is present in every duplicate that
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.
