System, method and computer program product for identification of anomalies in performance indicators of telecom systems

Abstract

A system and method for identifying anomalies in indicators, such as key performance indicators (KPIs) of a telecom system are disclosed. The method can learn over time behavior of the indicator and can statistically identify what should be considered anomalous. Learning can be performed on a per indicator basis that each presents different statistical qualities. The method can associate the indicator to a profile, such as one of several statistical distributions and can operate accordingly. Association may be determined by the correlation of the indicator to statistical distribution. The method can identify correlations between indicators when identifying the statistical distribution and especially when the associated statistical distribution is an unidentified profile. The method can include comparison of actuals versus prediction and sending alerts when anomalies are found. The system can be configured to receive data points respective of indicators and implement the method while continuously determining data points constituting anomalies.