AutoTest: Automation to Test Tabular Data Quality

Abstract—Data can take various forms and types such as numbers, symbols, words, images, and graphics. All these data are significant resources in companies’ operating process. So, if data has any quality problems (e.g. poor schema design, data entry errors, misspelling, inconsistency, and etc.), it will very risky for companies. On the other hand, high quality … Read more AutoTest: Automation to Test Tabular Data Quality