Better Marketing Starts with Better Data

Improve Data Quality for More Accurate Analysis with Alteryx and Melissa   Organizations are under more pressure than ever to gain accurate contact data for their customers. When your consumer base ranges from Los Angeles to Tokyo, it can be challenging. Poor data quality has a critical impact on both the financial stability as well as the operations of a…

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How to Do It All with Melissa

With Melissa, you can do it all - see for yourself with the brand new Solutions Catalog. This catalog showcases products to transform your people data (names, addresses, emails, phone numbers) into accurate, actionable insight. Our products are in the Cloud or available via easy plugins and APIs. We provide solutions to power Know Your Customer initiatives, improve mail deliverability…

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MatchUp Now Available in the Cloud

Did you know that most databases contain 8-10% duplicates? These duplicates get in the way of business intelligence, accurate analytics, and can even result in wasted spend and undeliverable mail costs.   The solution? MatchUp®! The new edition of a Cloud web service to the current lineup allows you to dedupe, household, and fuzzy match into any aspect of your…

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Melissa Data Continues Globalization of Core Product Line, Enhances MatchUp Tool with International Capabilities

Consolidating duplicate international customer records is now easier than ever with our enhanced MatchUp tool. MatchUp - Melissa Data's deduplication solution - can now parse addresses worldwide, a process that recognizes vast differences in international customer data fields and how they are merged into a data warehouse. Its initial global functionality will handle data for Australia, Germany, and the U.K.…

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Melissa Data Helps Improve Quality of Care through a Single View of the Patient

New Company Magazine Features Data Quality Insights on Merging Duplicate Patient Records into a Golden Record, also Tips on Improving Healthcare Data Warehousing Rancho Santa Margarita, CALIF. - September 9, 2014 - Melissa Data, a leading provider of global contact data quality and data enrichment solutions, today announced matching and de-duping functionality that solves duplicate records for healthcare database administrators…

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A 6-Minute MatchUp for SQL Server Tutorial

In this short demo, learn how to eliminate duplicates and merge multiple records into a single, accurate view of your customer - also known as the Golden Record - through a process known as survivorship using Melissa Data's advanced matching tool, MatchUp for SQL Server. Watch our video to learn more!

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Managing Unique Customer Identities with Master Entity Indexes

By David Loshin In the past few entries in this series we have basically been looking at an approach to understanding customer behavior at particular contextual interactions that are informed by information pulled from customer profiles. But if the focal point is the knowledge from the profile that influences behavior, you must be able to recognize the individual, rapidly access…

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Performance Scalability

By David Loshin In my last post I noted that there is a growing need for continuous entity identification and identity resolution as part of the information architecture for most businesses, and that the need for these tools is only growing in proportion to the types and volumes of data that are absorbed from different sources and analyzed. While I…

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Content Standards for Data Matching and Record Linkage

By David Loshin As I suggested in my last post, applying parsing and standardization to normalize data value structure will reduce complexity for exact matching. But what happens if there are errors in the values themselves? Fortunately, the same methods of parsing and standardization can be used for the content itself. This can address the types of issues I noted…

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Normalizing Structure Using Data Standardization for Improved Matching

By David Loshin In my last few posts, I discussed how structural differences impact the ability to search and match records across different data sets. Fortunately, most data quality tool suites use integrated parsing and standardization algorithms to map structures together. As long as there is some standard representation, we should be able to come up with a set of…

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