Melissa Data Enhances MatchUp with International Capabilities

Melissa Data, a provider of global contact data quality and address management solutions, has added international de-duplication capabilities in its MatchUp< tool, solving the challenge of duplicate customer data for businesses working with a worldwide customer base.

MatchUp can now parse addresses worldwide, a complex process that recognizes vast differences in international customer data fields and how they are input to data warehouses. MatchUp already incorporates capabilities for the United States and Canada; its initial global functionality will handle data for Australia, Germany, and the United Kingdom, with other countries to follow.

"Adding international capabilities to MatchUp is another step in globalizing our tools and services, enabling ideal customer data management in a worldwide business environment. Coupled with a full slate of data quality operations, such as profiling, cleansing, verification, and enrichment, these processes work together to fuel master data management, optimizing global customer information from the moment it enters the data warehouse," said Bud Walker, vice president of enterprise sales and strategy at Melissa Data, in a statement. "By matching and eliminating duplicate data, information is consolidated seamlessly across an organization, creating a single, 360-degree view of the customer. This is more essential than ever as businesses work across international markets, where customer data can reside in any branch office or be generated from any part of a multinational organization."

MatchUp's international capabilities are available as a multiplatform programming API for integration into custom data quality applications. By incorporating a comprehensive selection of fuzzy match algorithms, MatchUp enables users to de-dupe files in different formats with different name and address structures without having to reformat data.

Using deep domain knowledge of names and addresses, MatchUp can granularly identify matches between names and nicknames, street/alias addresses, companies, cities, states, postal codes, phone numbers, email addresses, and other contact data components. Melissa Data's international matching engine has further adapted these algorithms to accommodate different languages in Unicode.

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