The Role of Data Quality for Charities

2% of contact data is subject to inaccuracies every month which means that almost 25% of data is corrupted on an annual basis. However, new statistics demonstrate that organisations find almost 30% of their contact data to be inaccurate. This is not an alarming statistic as smart technology has meant that we are more connected than ever, but it has…

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When does Big Data become Bad Data?

Last month, we spoke about big data and the importance of leveraging such data to provide insights to drive better informed business decisions. But at what point does this data become useless? As we mentioned, big data provides detailed insight as it draws upon information from a number of sources and data points and thus, big data can reveal new…

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Data Quality? That’s not in my job description!

It may not be explicitly stated but ensuring your company has good quality data is part of your job role. Why? Because all of us depend on data to do our work and if this data contains errors, it makes your job more complicated. What would I need to do? You need to advocate for data quality. When you come…

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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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How to Get Complete Control Over Your Data Stewardship Processes

Matchbook is a SaaS solution that provides accurate and complete control over your data stewardship processes. With a fully functional user dashboard, Matchbook enables data stewards to: •         View queue statistics to see how much data has been processed and the status of their matches. •         See at-a-glance how many of the processed company records were low confidence or had no matches at all and then compare that to low confidence match patterns.  •                     View…

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Melissa’s Improvements in Dynamics CRM

Dirty data, in all forms, is bad for business. Here at Melissa, our primary concern is cleansing it from all of your platforms, including Microsoft Dynamics® CRM. Melissa currently offers many solutions for Dynamics CRM in order to combat problems with bad data.   We offer the Personator® solution in order to cleanse and enrich your U.S. and Canadian data.…

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Record Matching Made Easy with MatchUp Web Service

MatchUp®, Melissa's solution to identify and eliminate duplicate records, is now available as a web service for batch processes, fulfilling one of most frequent requests from our customers - accurate database matching without maintaining and linking to libraries, or shelling out to the necessary locally-hosted data files. Now you can integrate MatchUp into any aspect of your network that can…

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Know Your Customer Compliance Boosted by Tech Innovations

Fintech breakthroughs that identify,validate and augment customer data help financial services organizations head off fraud, operate within the rulesOne of the most pressing issues facing the financial services industry today is the prevailing emphasis on security and fraud prevention. Big data and analytics are leveraging the power of the Internet, but also offering big, juicy plums for hackers, credit card…

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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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