Data Miner

Data Miner

Data Miner is a software tool for monitoring, analyzing, and visualizing networks, services, and IoT devices in real-time. It provides automated fault, performance, and root cause analysis along with customizable dashboards and reports.
Data Miner image
data-analysis data-visualization network-monitoring fault-analysis

Data Miner: Real-Time Network Monitoring and Analysis Tool

Automate fault, performance & root cause analysis, plus customizable dashboards & reports for IoT devices, services & networks.

What is Data Miner?

Data Miner is a comprehensive network, service, and IoT device monitoring and analytics platform developed by Skyline Communications. It enables organizations to gain end-to-end visibility and insights into their infrastructure and applications.

Key capabilities and benefits of Data Miner include:

  • Real-time monitoring and data collection from networks, servers, virtual environments, and IoT devices
  • Customizable dashboards for visualizing performance metrics and status information
  • Automated fault and root cause analysis to proactively identify and troubleshoot issues
  • Reporting and SLA management to analyze trends and ensure compliance
  • Network discovery and topology mapping for complete visibility
  • Integration with other management tools via API and open architecture
  • Scalability to monitor large, complex infrastructures and Big Data environments

Data Miner helps IT teams to predict problems, ensure optimal performance, and rapidly troubleshoot issues across physical, virtual, and cloud environments. With powerful visualization and analytics capabilities, it provides a centralized view of the health and capacity of both IT infrastructure and business services.

Data Miner Features

Features

  1. Real-time monitoring and analytics
  2. Automated fault and performance analysis
  3. Customizable dashboards and reports
  4. Service and network topology mapping
  5. Event correlation and root cause analysis
  6. Threshold and alarm triggering
  7. Data visualization and forecasting

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Comprehensive monitoring and analytics

Automated analysis and troubleshooting

Customizable interface and reporting

Scalable for large environments

Integrates well with other management tools

Cons

Can have a steep learning curve

Limited configuration management capabilities

Additional modules and integrations cost extra

May require dedicated resources for larger deployments


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