Outlier Detection in Data With Amazon Lookout for Metrics
Facilitate data processing and build highly accurate machine learning models to detect outliers and anomalies in data faster, more efficiently, and at scale.
Contact us todayWhat Is Amazon Lookout for Metrics?
Organizations in data-rich, highly dynamic industries such as e-commerce, gaming, adtech, and telco are moving away from manual tracking of outliers and anomalies in business and operational data. Manually configured rules are no longer sustainable at scale, and legacy approaches to data monitoring rarely uncover the underlying cause of an outlier in time to act on it.
Amazon Lookout for Metrics is a fully managed machine learning service that makes it easy for businesses to more efficiently detect outliers in business and operational data, identify their root causes, and act on them quickly. By automating the detection workflow end to end, the service helps organizations turn anomalies into actionable insights with less engineering overhead.
Where Amazon Lookout for Metrics Is Used
Finding outliers and anomalies, and comparing such metrics as revenue, cost, profit, and pricing
Finding anomalies and analyzing CPU performance, latency, memory consumption, and availability
Finding outliers and anomalies impacting product usage, web page views, churn rate, and CTR
Ensuring operations reliability by detecting anomalies in inventory levels, returns, delivery time, and more
Key Features of Amazon Lookout for Metrics
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Machine learning-powered, automated detection of outliers and anomalies in real-time data
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Ability to use historical data to train and tune models for real-time anomaly detection
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Simplified on-the-go ML model training when customers provide little to no data
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Outlier detection in time-series data to determine their root causes across multiple metrics and domains
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Grouping and ranking of results, to monitor chosen metrics and to streamline reporting of outliers
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Automated scaling to meet customer needs with simple API, with in-console testing and deployment options
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Ability to continuously improve accuracy via a closed feedback loop
How It Works
With real-time data ingested to Amazon Lookout for Metrics, the service automatically selects the ML algorithm, called a detector, that best fits your data and use case, and starts detecting outliers based on chosen KPIs. If an outlier is detected, it is ranked by severity, and notification is sent. You can provide feedback on outliers to keep improving the model.
Provectus is proud to be an Amazon Lookout for Metrics launch partner
We are committed to helping our customers leverage Amazon Lookout for Metrics to detect anomalies in their business and operational data and act on them in real time. Provectus is an AWS Premier Consulting Partner with a strong track record of data analytics and anomaly detection solutions, holding AWS Data & Analytics, DevOps, and Machine Learning Competencies.
