Screenshot of anomaly analytics results

Proactively identify and avoid operational issues

In today’s digital environment, you need your key services and applications to be always available. For enterprises with hybrid applications which include IBM Z®, detecting and determining the root cause of hybrid application issues has grown more difficult with rising costs, skill shortages, and changing user patterns.

IBM Z Anomaly Analytics with Watson 5.1 provides you with the intelligent anomaly detection you need to proactively detect operational issues.



Build a model of normal operations for your environment across multiple IBM Z subsystems including IBM®, Db2®, CICS®, and IBM MQ as well as IBM Z log data.


Analyze real-time operational data in comparison with the model of normal operations to detect anomalous behavior.


IT operations are notified of anomalous behavior to proactively identify incidents that might lead to business disruption.


Get anomalous details quickly with enhanced visualization that provides the ability to filter non-critical data and advance, rewind, and zoom into specific time intervals.


Anomaly events are correlated with events and data from the entire enterprise to understand application impacts and quickly resolve incidents when integrated with IBM Cloud Pak® for Watson AIOps.

IBM Z Anomaly Analytics key features

  • Metric-based anomaly detection and visualization
  • Integrated log anomaly detection
  • Event generation and hybrid correlation