Dealing with data quality related problems is an important issue that all organizations face in realizing and sustaining data intensive advanced applications. Upon detecting these problems in datasets, data analysts often register them in issue tracking systems in order to address them later on categorically …

Maintaining the quality of data in information systems is an important issue that all organizations face. Existing data quality management solutions are based on offline methods carried out in infrequent intervals (like surveys). These methods suffer inherently from high costs, high delays, and thus …

Organizations face many challenges in maintaining the quality of data in their information systems. Often offline methods like surveys are used in existing data quality management solutions. These methods, which are usually used in infrequent time intervals, suffer from high costs, high delays, and low …