A Guide to Better Survivorship – A Melissa Data Approach

Melissa Team | Address Quality, Analyzing Data, Analyzing Data Quality, Data Enhancement, Data Integration, Data Management, Data Quality, Survivorship | , , , , , , ,

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 Melissa Data uniquely differentiates itself in approaching the concept of survivorship compared to some of the more conventional practices.
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Clean Data is Good Data

Blog Administrator | Analyzing Data Quality, Data Cleansing, Data Enrichment, Data Integration, Data Management, Data Quality | , , , , ,

By Elliot King

The cliché is as old as computing itself–garbage in, garbage out. And that cliché is as true now as ever, if not more so. Unfortunately, with information flowing into companies from so many sources including the Web and third-party providers, mistakes should not just be expected; they are basically inevitable. Garbage data is going to get in your data systems.
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Melissa Data Launches Multiplatform API RightFielder Object

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RightFielder Object is a multiplatform API that will intelligently parse and organize inconsistent or unformatted data into correctly formatted fields. Using proprietary parsing logic, RightFielder Object can analyze free-form data, recognize where fields begin and end, and assign the contents to the correct output property. RightFielder Object also identifies multiple types of data in the same field (e.g. city and state) and reorganizes the data into new columns each with a single data type.… Read More