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Description
Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.
Description
Safeguard business service-level agreements by utilizing dashboards that enable monitoring of service health, troubleshooting alerts, and conducting root cause analyses. Enhance mean time to resolution (MTTR) through real-time event correlation, automated incident prioritization, and seamless integrations with IT service management (ITSM) and orchestration tools. Leverage advanced analytics, including anomaly detection, adaptive thresholding, and predictive health scoring, to keep an eye on key performance indicators (KPIs) and proactively avert potential issues up to 30 minutes ahead of time. Track performance in alignment with business operations through ready-made dashboards that not only display service health but also visually link services to their underlying infrastructure. Employ side-by-side comparisons of various services while correlating metrics over time to uncover root causes effectively. Utilize machine learning algorithms alongside historical service health scores to forecast future incidents accurately. Implement adaptive thresholding and anomaly detection techniques that automatically refine rules based on previously observed behaviors, ensuring that your alerts remain relevant and timely. This continuous monitoring and adjustment of thresholds can significantly enhance operational efficiency.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AXYVOR
No
Apache Kafka
Yes
BlueCat Gateway
No
CloudFabrix
No
Dynatrace
Yes
Elastic Cloud
Yes
Evolven
No
GitHub
Yes
GitLab
Yes
Google Cloud Platform
Yes
Integrations
AXYVOR
Yes
Apache Kafka
No
BlueCat Gateway
Yes
CloudFabrix
Yes
Dynatrace
No
Elastic Cloud
No
Evolven
Yes
GitHub
No
GitLab
No
Google Cloud Platform
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Selector
Country
United States
Website
www.selector.ai/product/
Vendor Details
Company Name
Cisco
Founded
1984
Country
United States
Website
www.splunk.com/en_us/products/it-service-intelligence.html
Product Features
Network Monitoring
Bandwidth Monitoring
No
Baseline Manager
No
Diagnostic Tools
No
IP Address Monitoring
No
Internet Usage Monitoring
No
Real Time Analytics
No
Resource Management
No
SLA Monitoring
No
Server Monitoring
No
Uptime Monitoring
No
Web Traffic Reporting
No
Product Features
IT Alerting
Alert Noise Reduction
No
Alert Routing
No
Dynamic Notifications
No
Enriched Incident Context
No
Escalation Policies
No
Incident History Audit
No
Multi-User Alerting
No
Multiple Alert Types
No
On-Call Management
No
Rich HTML Email Notifications
No
IT Service
Contract Management
No
IT Asset Management
No
Incident Management
No
Knowledge Management
No
Release Management
No
Self Service Portal
No
Service Catalog
No
Service Reporting
No
Ticket Management
No
