Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is, and it helps to separate high-quality data from low-quality data. It is much easier—and safer—to make business decisions based on reliable information. Poor information (based […]
Data Quality’s Importance to Blockchain
What’s the connection between Data Quality and Blockchain? Dan Myers, principal information quality educator at DQMatters and the publisher of The Conformed Dimensions of Data Quality — which seeks to align the Data Management community by using common definitions — addressed the issue during his Enterprise Data World Conference presentation titled “Improved Data Quality Implications […]
The Data Quality Dimension “Coverage” is the Most Prominent for AI Outcomes
Click to learn more about author Tejasvi Addagada. The first Data Quality challenge is most often the acquisition of right data for Machine Learning Enterprise Use cases. Wrong Data – Even though the business objective is clear, data scientists may not be able to find the right data to use as inputs to the ML service/algorithm […]