Discover Data Quality Issues Before they Arise

By Taky Djarou, Data Quality Analyst Melissa has released its new data Profiler API. The Profiler Object offers a unique approach to profiling your data, combining years of contact data quality experience, the power of many Melissa Objects, and data source tables to help you dig deeper into your data and return hundreds of properties about the input table, columns…

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3 Ways to Get Your Integrated Marketing in Gear

Do you feel your marketing efforts need to be more unified? Try integrated marketing - a holistic approach to ensuring your audience receives a consistent message both online and offline. But to be effective, you need the data to reach them the way they want to be contacted. Here's 3 easy ways to get your integrated marketing in gear.  …

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How to Know Customers Are Who They Say They Are

In 2015 alone, 62% of companies were targets of payment fraud. As customers increasingly conduct their financial affairs online and via mobile devices, risk management and fraud prevention become more and more difficult. So, how do you know customers are who they say they are?Short of reaching through the computer, tablet, or smartphone screen and verifying a customer with your…

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Business Coder Firmographics: Employee Contact Information

The last major update to the Business Coder Web Service includes the addition of employee contacts for the entered business, allowing for the retrieval of employee names and their respective titles. The next major update to Business Coder will feature an upgrade to the employee contact list returned. Aside from the name and title, contacts will now also give back…

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Meet Melissa: Global Intelligence

Melissa Data is officially now Melissa.   As we welcome our 32nd year in business, we are excited to announce an important change at Melissa Data. We've decided to drop the "Data" from our brand identity. We are simply Melissa now. This is part of a new branding effort to reflect Melissa's growth, and more importantly, the changes in the…

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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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Melissa Data’s Listware Online Brings Efficient Cloud-Based Data Quality to Business Users

Take the headache out of maintaining clean contact data with our new Listware Online! With a simple data upload (there's no software to install), this Cloud-based service verifies, corrects, and standardizes U.S. and Canadian addresses, and adds missing name, address, phone, and email information. Listware Online also enriches your data with additional information, including lat/long coordinates, property data, census data,…

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A Guide to Better Survivorship – A Melissa Data Approach

By Joseph Vertido The importance of survivorship - or as others may refer to as the Golden Record - is quite often overlooked. It is the final step in the record matching and consolidation process which ultimately allows us to create a single accurate and complete version of a record. In this article, we will take a look at how…

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Structural Differences and Data Matching

By David Loshin Data matching is easy when the values are exact, but there are different types of variation that complicate matters. Let's start at the foundation: structural differences in the ways that two data sets represent the same concepts. For example, early application systems used data files that were relatively "wide," capturing a lot of information in each record,…

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Improving Identity Resolution and Matching via Structure, Standards, and Content

By David Loshin One of the most frequently-performed activities associated with customer data is searching - given a customer's name (and perhaps some other information), looking that customer's records up in databases. And this leads to an enduring challenge for data quality management, which supports finding the right data through record matching, especially when you don't have all the data…

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