Abstract: The disclosure presents computational methods and systems for detecting and correcting, or deleting, data anomalies in data generated by information technology business management (“ITBM”) systems. In one aspect, a method receives a record of data generated by an ITBM system. The record of data includes data types and associated numerical values recorded over a number of time periods. The method detects one or more data anomalies in the record of data based on the numerical values of the data types in the time periods and reports a set of the one or more data anomalies to a user. The method also enables a user to correct the data anomalies in the recorded data based on the user's decision to selectively correct or delete each of the data anomalies.