In-House vs Best In Class Data Matching Solutions

When it comes to data matching, companies often struggle with achieving a 100% accuracy rate. In-house data match solutions are restricted by available talent, time limitations, costs, experience and many other factors that make it impossible to get adequate results. Consequently, this can lead to lower match accuracy, missing as many as 1/3 of matches.

Discover how in-house solutions fare against commercial solutions & why it is often an expensive failure.

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The guide will help you to understand:

Data Ladder’s visual approach for business users is cutting-edge. The visual interface and well thought-out options make for simple and effective data cleansing implementations.


Ted Friedman, Gartner – Author Magic Quadrant for Data Quality Tools