Business monitoring automatically detects correlations, trends, and anomalies across large numbers of business metrics using machine learning (ML) and artificial intelligence (AI), intelligently alerting users about issues that may impact business outcomes.
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Business monitoring platforms function like smart notification systems that automatically detect relevant trends, correlations, and anomalies in large volumes of data and alert users about issues that may impact business outcomes. Unlike prior generations of alerting mechanisms, they excel at separating signal from noise. They also quickly learn what business users consider relevant and deliver only those insights.
- Wayne Eckerson in Deep Dive on Business Monitoring Systems: Three Tools to Consider
June 30, 2021 (Whitepaper)
New business monitoring systems track business metrics continuously and use artificial intelligence to detect anomalies, identify root causes, and suggest fixes.
- Wayne Eckerson in Business Monitoring Systems: Applying Machine Learning to Business Metrics
June 26, 2020 (Event)
o Business Metrics," Jun 26, 2020 (Webcast) “The business monitoring revolution has just begun. Today, these systems detect anomalies, identify correlations, and display potential root causes. Soon, they may suggest remedies, predict change, and suggest ways to optimize processes to avoid issues in the future. In essence, the systems will automate things that humans can’t do and augment what humans can with real-time recommendations and suggestions.
- Wayne Eckerson in Business Monitoring Systems: Using Machine Learning to Analyze Business Metrics
June 15, 2020 (Report)
Relevant Content
Jun 26, 2020 - Webinar slides: New business monitoring systems reveal new insights beyond the capabilities of dashboards. They track business metrics continuously and...
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