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… Read More
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) a data audit revealed that the data you have is not what you think you have.
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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 mail; marketing efforts with poor response rates because the offering has not been correctly tailored to address the “wants and needs” of the customers; prospects who turn away because their names are spelled wrong or other information is incorrect.… Read More