Detecting and displaying exceptions in tabular data

Data expressed as tabular data having columns and rows can be analyzed and data determined to be an exception can be flagged. In addition, reasons for flagging such data as exceptions can be presented to a user to facilitate further analysis and action on the data. A predictive analysis component can utilize a clustering algorithm with predictive capabilities to autonomously analyze the data. Periodic re-analysis of the data can be performed to determine if exceptions have changed based on new or modified data.