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To effectively detect irregularities in business metrics, it is crucial to minimize false positives through the application of machine learning (ML). By clustering similar outliers, one can delve into the root causes of these anomalies for a thorough examination. Summarizing these underlying issues and ranking them based on severity ensures that organizations can address the most critical problems first. The integration with AWS databases, storage solutions, and third-party SaaS applications enables ongoing monitoring of metrics and anomaly detection. Additionally, implementing customized automated alerts and responses when anomalies are detected boosts operational efficiency significantly. The Lookout for Metrics tool employs ML to automatically identify anomalies in both business and operational data, while also uncovering their root causes. Detecting unexpected anomalies poses a challenge, especially since conventional methods typically depend on manual processes that often introduce errors. Lookout for Metrics alleviates this complexity, empowering users to identify and analyze data inconsistencies without specialized knowledge in artificial intelligence (AI). Furthermore, this tool enables the monitoring of unusual variations in subscriptions, conversion rates, and revenue, promoting a proactive stance against sudden market shifts. By harnessing sophisticated machine learning approaches, businesses can greatly enhance the precision of their anomaly detection endeavors, ultimately leading to better decision-making and more resilient operations. This strategic application of technology thus not only improves detection but also fosters a culture of continuous improvement within organizations.
Integrations Supported
AWS Lambda
Amazon CloudWatch
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
Integrations Supported
AWS Lambda
Amazon CloudWatch
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Sensai
Date Founded
2017
Company Location
Israel
Company Website
www.sensai.io
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/lookout-for-metrics/
Categories and Features
Cloud Management
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Data Center Management
Audit Trail
Behavior-Based Acceleration
Cross Reference System
Device Auto Discovery
Diagnostic Testing
Import / Export Data
JCL Management
Multi-Platform
Multi-User
Power Management
Sarbanes-Oxley Compliance
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
