What’s all the fuss about Big Data?

According to data analytics company SAS, big data is a term used to describe large volumes of data, whether structured or unstructured, that businesses deal with on a daily basis. Big data can be broken down into the three Vs: Volume: businesses collect data from various sources and with increasing use of the internet and social platforms, there is more…

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Melissa-Powered GDPR Risk Audits from DataDelta Uncover Hidden Risks in Right to Erasure Compliance

Inspired by GDPR Survey Results, Audits Reveal Blind Spot in Accuracy Assumptions of Single Customer View Platforms Melissa, a leading provider of global contact data quality and identity verification solutions, and DataDelta, a 14-year leader in Master Data Management (MDM) match accuracy analytics, today announced two new audit solutions to support governance, risk, and compliance officers in complying with the E.U.’s…

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Know Your Customer with Personator World – Cloud-Based Identity Resolution and Verification Engine

By Kevin Ubay-Ubay, Sales EngineerPersonator World is Melissa's new powerful cloud based web service that gives a simple and single way to clean and verify your contact data globally. This service leverages our experience in name, phone, address & email validation to provide comprehensive contact checking and combines high quality identity level verification. Some examples of where our new web…

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Introducing Business Coder for United Kingdom

Melissa is happy to announce the release of our Business Coder service for UK, where you can verify, validate, and append firmographics for businesses in the UK. Originally servicing only the US, our webservice now expands to the UK as one of our more popular demands for business identification. Our Business Coder UK webservice can help provide address cleansing and…

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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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Ask First, Fix Later

By Elliot King Like the Boston Red Sox breaking their fans' hearts, almost inevitably (stress on the almost) you will discover that some percentage of your data is wrong. The realization that you have data quality problems may come about for few reasons: 1) you've looked under the hood of your data systems by conducting a data assessment or 2)…

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Why You Need a Data Audit

Everybody makes mistakes and those mistakes have consequences. As enterprises rely more heavily on data to make decisions and drive processes, the quality of that data becomes more critical to the overall success of the organization. In many cases, the impact of bad data is not too hard to identify--direct marketing campaigns with high numbers of email bounce-backs or undeliverable…

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