Automatic generation of users behavior exception and resource performance alarms. Such exception situations are notified when the values measured for control variables are just outside their normal areas, that is, when they present valid statistical difference in the expected values in such feature/customer and for that period of time.


It offers a different and exclusive environment for managing services by using statistical algorithms, to detect broad coverage anomalies and reliability, which are likely trigger a false alarm or fail to trigger the alarm when necessary, 1:1,000,000.

It prioritizes alarms by failure or potential degradation impact in the customer and business, considering the technical, operational, financial, social or political impact.

It enables drill-down to record level, highlighting calls or data connections around the time the alarm rings.

By working online, it supports short-term intervention decision-making; and offline, it identifies chronic exceptions cases with medium or long-term persistence, and provides information to locate and eliminate the exception root cause.


Detection of exceptions – Detects with high reliability, exceptions in subscribers’ behavior, in the performance of network elements and in the quality of services;

Dynamic registration – Traffic, performance, and quality criteria automatically identify physical (equipment) and logical (code) resources relevant to the management, thus avoiding costs and risks inherent in the registration and manual updating in the face of a large number and diversity of these resources;

Statistical tests – Hypothesis tests, almost in real time, controlled statistical error, which ensure high reliability by avoiding alarms error or generating false alarms;

Time correlation – Avoids repeated generation of notifications due to alarm violation for the same exception detected;

Filters and searches – Enables the identification of alarms by period of time, types of exceptions, resources class or specific resource;

Recognition – Allows the operator to label the alarm as recognized, handled, canceled, among others;

Business Impact – Informs which service, or who, may be affected with the detected degradation;

Volumetry – Indicates exceptions in call volume by traffic origins or destinations, addressing subjects as churn, interruptions and fraud;

Drill-Down – Obtainment of records (CDR) that may be linked to the generation of a set of alarms/alerts, through a call detail report, extracted from a configurable period;

© 2016 Visent