Data matching software
Execute proprietary and industry-grade match algorithms – based on custom-defined criteria and match confidence levels – for exact, fuzzy, numeric, or phonetic matching, and visually deduplicate or merge records belonging to the same entity.
What is data matching?
Data matching is the process of comparing data values and calculating the degree to which they are similar. This process is helpful in eliminating record duplicates that usually form over time, especially in databases that do not contain unique identifiers or appropriate primary and foreign keys.
In such cases, a combination of non-unique attributes (such as last name, company name, or street address) is used to match data and find the probability of two records being similar.
Why do you need a data matching tool?
What DME’s data matching can do for you?
DME uses the correct algorithms, combining established and hybrid, depending on the nature of your data. You can, of course, fine-tune the setting to emphasize certain types of data matching, for example, exact, fuzzy , numeric, phonetic, or domain-specific matching.
DME allows you to utilize the match results for subsequent steps of deduping , merging, and purging data records. You can also use the match results and scores to create survivorship rules or perform advanced data analysis – for example, merging records that show a high level of match confidence, or identify households where records have the same (or similar) residential address.