Amazon Lookout for Metrics
source link: https://aws.amazon.com/lookout-for-metrics/?nc2=h_ql_prod_ml_lfm
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Amazon Lookout for Metrics-anomaly detection – Amazon Web Services
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Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (i.e. outliers from the norm) in business and operational data, such as a sudden dip in sales revenue or customer acquisition rates. In a couple of clicks, you can connect Amazon Lookout for Metrics to popular data stores like Amazon S3, Amazon Redshift, and Amazon Relational Database Service (RDS), as well as third-party SaaS applications, such as Salesforce, Servicenow, Zendesk, and Marketo, and start monitoring metrics that are important to your business. Amazon Lookout for Metrics automatically inspects and prepares the data from these sources to detect anomalies with greater speed and accuracy than traditional methods used for anomaly detection. You can also provide feedback on detected anomalies to tune the results and improve accuracy over time. Amazon Lookout for Metrics makes it easy to diagnose detected anomalies by grouping together anomalies that are related to the same event and sending an alert that includes a summary of the potential root cause. It also ranks anomalies in order of severity so that you can prioritize your attention to what matters the most to your business.
Benefits
Use cases
Amazon Lookout for Metrics accurately detects and diagnoses anomalies across a broad range of business functions and industry use cases.
With multiple campaigns running simultaneously and a large number of metrics to monitor, spotting anomalies in campaign data is often time consuming and manual. With Amazon Lookout for Metrics you can immediately understand when your campaign is overspending, underperforming or has encountered an error and alert you to mission-critical incidents that impact your ad spend. Some example metrics to monitor are clicks, impressions, conversions, installs, or ad spend.
Customer stories
Using Lookout for Metrics we were able to discover an issue that was negatively impacting pricing for a Mobile Network Operator customer within minutes. We were able to instantly identify the culprit and roll out a fix within 2 hours. Without Lookout for Metrics, it would have taken us approximately a day to identify and triage the issue, and would have led to a 7.5% drop in customer revenue. Lookout for Metrics allows us to act quickly and ensure the optimal performance of our pricing models, leaving us to focus on what really matters - getting everyone connected.”
Nico Kruger - Chief Technology Officer, Digitata
“At Liberty Latin America we aim to provide the best customer experience possible and we address this in many ways. In a joint venture between IT Business Intelligence and Product Connectivity & Entertainment, we use anomaly detection to track key metrics that are indicators of a fall in the customer experience. Using Amazon Lookout for Metrics, we are more easily able to identify real anomalies and alert our team to potential drops in customer experience.”
Sergio Rodriguez - Sr. Manager, Entertainment & Connectivity Product Quality, Liberty Latin America
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