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News Melissa Data Introduces International De-Duplication Capablities in its Matchup Tool

 Melissa Data Introduces International De-Duplication Capablities in its Matchup Tool

Melissa Data announced international de-duplication capabilities in its MatchUp tool. The tool can now solve the problem of duplicate customer data for businesses handling a global customer base and parse addresses worldwide. This is a complex process that identifies major differences in international customer data fields and the manner in which they are fed into a data warehouse. The MatchUp tool already has capabilities for Canada and the United States – this new functionality will effectively manage data for the United Kingdom, Australia and Germany, and other countries will follow.

Melissa Data is a 30-year-old company, specializing in global contact data quality and address management tools. With Melissa Data’s solutions, organizations can effectively capture and maintain international customer contact information at the entry point, thus ascertaining that the customer data is accurate across the enterprise. Over 10,000 global clients, spread across sectors like healthcare, retail, education, finance, insurance, government, etc., leverage Melissa Data’s broad spectrum of data validation software and services.

Melissa Data’s agile tools effectively manage the complete customer lifecycle. Using in-depth domain knowledge of names and addresses, MatchUp meticulously identifies matches between names, addresses, companies, cities, postal codes, phones and other contact data.

VP of Enterprise Sales and Strategy, Melissa Data, Bud Walker, said, “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. By matching and eliminating duplicate data, information is consolidated seamlessly across an organization, creating a single, 360-degree view of the customer.”

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