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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

With the rising demand for data and digital services, operators are perpetually navigating the challenge of investing in networks, spectrum, software, and services. This situation forces them to juggle numerous distinct vendor ecosystems, which often creates a convoluted network of silos linked by cumbersome manual processes. Such intricacy can complicate the ability to capture, correlate, track, and bill for specific usage events effectively. Globally, telecom subscribers generate billions of network events each day, and every call, text, email, or download can produce hundreds of individual events that must be managed. Furthermore, the escalating volume and complexity of these events continue to grow, driven by the constant introduction of new services, content, partners, and devices, making the management of these systems increasingly challenging. Consequently, operators must find innovative solutions to streamline these processes and enhance operational efficiency.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon CloudWatch
Apache Kafka
Dynatrace
Elastic Cloud
GitHub
GitLab
Grafana Cloud
Humio
Jira
Microsoft Azure
Microsoft Teams
MongoDB
New Relic
Prometheus
ServiceNow
Slack
SolarWinds Access Rights Manager
Splunk Cloud Platform
Syslog-ng
Zabbix

Integrations

Amazon CloudWatch
Apache Kafka
Dynatrace
Elastic Cloud
GitHub
GitLab
Grafana Cloud
Humio
Jira
Microsoft Azure
Microsoft Teams
MongoDB
New Relic
Prometheus
ServiceNow
Slack
SolarWinds Access Rights Manager
Splunk Cloud Platform
Syslog-ng
Zabbix

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mobileum

Country

United States

Website

www.mobileum.com

Vendor Details

Company Name

Selector

Country

United States

Website

www.selector.ai/product/

Product Features

Risk Management

Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment

Product Features

Network Monitoring

Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting

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