Automatically analyze service IT operational data
IBM® Operations Analytics - Predictive Insights analyzes millions of IT metrics for relationships, learning from data, noticing changes and informing on anomalous changes in your infrastructure. Insights of value are achieved without the need for statistical configuration!
Enable Proactive IT with cognitive machine learning
IBM Operations Analytics helps IT operations subject matter experts proactively manage their IT infrastructure by detecting anomalies, issuing alerts and providing insights into concerns and patterns needing attention. Read how you operations team can achieve an 85% reduction in major incidents for critical applications.
Detect incidents to avoid service outages
Consolidated Communications uses IBM predictive insights to detect 100 percent of major incidents, including silent failures, eliminating the task of managing manual thresholds, saving USD 300,000 annually.
Detect anomalies to diagnose IT concerns
IBM Operations Analytics helps to locate change and issue patterns faster for corrective actions. Learn how Barclays Bank uses IBM Operations Analytics to gain insight and intelligence.
Unlock insights for more proactive operations
Read this white paper to find out cognitive service management solutions from IBM can help proactively unlock timely, actionable insights.
Search terabytes of log data
IBM Operations Analytics - Log Analysis can search across all operational data to diagnose issues with an online trading application.
Save time locating problems
IBM predictive insights provides issue alarm reduction through robust analytics, dynamically forecasts your data using IBM Watson®, automatically finds real problems and presents them in an easy-to-use dashboard.
Improve operations efficiency
Machine learning with IBM Operations Analytics helps to continuously analyze operational data to rapidly resolve issues. See how Claranet uses IBM Netcool® Operations Insight with IBM Operations Analytics to analyze event, alert, KPIs and performance data.