How Fuzzy Matching Solutions Work
While data matching used to be an easy activity, over the years, the type, format, and complexity of raw data have changed. Today, the best-in-class data matching tools use a combination of algorithms + proprietary algorithms to weed out the most difficult data fields to help companies achieve their data matching objectives.
Discover how a fuzzy matching solution works combining established and proprietary algorithms.
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This guide will help you:
- Understand the various types of fuzzy matching algorithms used in data matching.
- Differentiate between basic and best-in-class fuzzy matching solutions.
- Evaluate Data Ladder's approach to fuzzy matching using proprietary and established algorithms.
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.
Gartner.
Ted Friedman, Gartner – Author Magic Quadrant for Data Quality Tools
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