Learn which data quality management tool is best for your business - and leverage these tools' ability to analyze, manage and scrub data from numerous sources
"Data quality is a critical issue in today's data centers," opines Samuel Greengard in
Datamation. "Given the complexity of the Cloud era, there's a growing need for data quality tools that analyze, manage and scrub data from numerous sources, including databases, e-mail, social media, logs, and the Internet of Things (IoT).
These data quality tools remove formatting errors, typos, redundancies and other issues. Data quality management tools also ensure that organizations apply rules, automate processes and have logs that provide details about processes. Used effectively, these tools remove inconsistencies that drive up enterprise expenses and annoy customers and business partners. They also drive productivity gains and increase revenues..."
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