Network engineering generates mountains of data—bandwidth utilization, latency metrics, error rates, device performance logs. But turning this raw data into actionable insights? That's where most teams hit a wall.
Traditional analysis tools are either too complex (requiring specialized training) or too basic (missing critical functionality). Sourcetable bridges this gap, combining the familiar spreadsheet interface with AI-powered analysis capabilities specifically designed for network engineering workflows.
Streamline your analysis workflow with tools built for infrastructure professionals
Connect directly to network monitoring systems and analyze live performance data. Track bandwidth utilization, latency patterns, and device health metrics in real-time dashboards.
Automatically identify network performance anomalies and potential issues before they impact users. Get intelligent alerts and suggested optimizations based on historical patterns.
Forecast network capacity needs using advanced analytics. Model growth scenarios, predict bandwidth requirements, and plan infrastructure investments with confidence.
Combine data from multiple network monitoring tools, SNMP devices, and log systems in a single analysis workspace. No more manual data exports or complex ETL processes.
Generate executive summaries, SLA compliance reports, and performance dashboards automatically. Schedule reports and share insights with stakeholders effortlessly.
Rapidly analyze network incidents with built-in forensic tools. Correlate events across systems, identify root causes, and document findings for future prevention.
See how network engineers use Sourcetable to solve common infrastructure challenges
A global technology company analyzed 18 months of bandwidth data across 200+ network segments. Using Sourcetable's AI analysis, they identified peak usage patterns, seasonal trends, and underutilized capacity. The analysis revealed $2.3M in potential savings through circuit rightsizing and traffic optimization. The team created automated alerts for circuits exceeding 80% utilization and established data-driven capacity planning workflows.
A financial services firm experienced intermittent application performance issues affecting trading systems. Network engineers imported latency measurements from multiple monitoring tools into Sourcetable and used correlation analysis to identify patterns. They discovered that latency spikes correlated with specific backup processes running on parallel systems. By adjusting backup schedules and implementing QoS policies, they reduced 95th percentile latency by 40%.
An enterprise with 50+ branch offices needed to standardize network performance across locations. Using Sourcetable, they analyzed throughput, packet loss, and jitter metrics from each site. The analysis revealed significant performance variations and identified 12 sites requiring infrastructure upgrades. They created performance benchmarks and implemented a monitoring dashboard showing real-time site comparisons.
A healthcare organization's security team noticed unusual network traffic patterns during off-hours. They imported firewall logs, intrusion detection alerts, and bandwidth monitoring data into Sourcetable for comprehensive analysis. The correlation analysis revealed coordinated reconnaissance activities across multiple network segments, leading to the discovery of an advanced persistent threat. The analysis helped them understand attack vectors and implement targeted security measures.
A retail chain with 300+ store locations analyzed WAN circuit performance to optimize their network architecture. They used Sourcetable to combine circuit utilization data, application response times, and cost information. The analysis identified opportunities to migrate low-priority traffic to internet connections, saving $180K annually in MPLS costs while maintaining critical application performance.
An IT infrastructure team needed to plan equipment refresh cycles across a large enterprise network. They imported device inventory data, performance metrics, and failure rates into Sourcetable. The analysis created risk scores for each device based on age, utilization, and reliability patterns. This data-driven approach helped prioritize replacements, reduce unplanned outages by 60%, and optimize capital expenditure timing.
From data import to actionable insights in minutes, not hours
Import data from network monitoring systems (SolarWinds, PRTG, Nagios), SNMP devices, log files, and custom APIs. Sourcetable handles common network data formats automatically, including CSV exports, syslog files, and API responses.
Let AI clean and normalize your network data. Automatically parse timestamps, convert units, handle missing values, and identify data quality issues. The system recognizes common network metrics and suggests appropriate analysis approaches.
Explore your network data with natural language queries. Ask questions like 'Show me bandwidth trends for the past quarter' or 'Which devices have the highest error rates?' Get instant visualizations and statistical insights.
Receive AI-generated insights about network performance patterns, anomalies, and optimization opportunities. Set up custom alerts for threshold violations, performance degradation, or unusual traffic patterns.
Create professional reports with executive summaries, technical details, and actionable recommendations. Schedule automated reports for stakeholders and export results to your preferred format.
Sourcetable's advanced time series analysis helps you understand network performance trends and predict future capacity needs. Built-in forecasting models analyze historical patterns to project bandwidth utilization, identify seasonal variations, and plan for growth.
Apply industrial-grade quality control methods to network performance monitoring. Create control charts for key metrics like latency, packet loss, and availability to maintain consistent service levels.
Analyze network performance across multiple dimensions simultaneously. Understand how factors like time of day, application type, user location, and device characteristics interact to influence network behavior.
Sourcetable supports multiple connection methods including direct API integration with popular tools like SolarWinds, PRTG, and Nagios, CSV file imports, database connections, and custom webhooks. You can also import SNMP data exports and log files from virtually any network device or monitoring system.
Both! Sourcetable can connect to live data streams for real-time analysis and alerting, while also handling historical data for trend analysis and capacity planning. You can set up automated data refreshes to keep your analysis current with minimal manual intervention.
Sourcetable supports comprehensive network analysis including bandwidth utilization trends, latency analysis, capacity planning, performance benchmarking, incident correlation, security event analysis, device lifecycle management, and SLA compliance reporting. The AI assistant can suggest analysis approaches based on your data.
The AI assistant helps in multiple ways: automatically cleaning and preparing network data, suggesting relevant analysis techniques, generating insights from complex datasets, creating natural language summaries of findings, and alerting you to anomalies or trends that require attention. It's like having a data analyst specialized in network engineering.
Yes, Sourcetable includes robust reporting capabilities. You can create executive dashboards, technical deep-dive reports, SLA compliance summaries, and incident post-mortems. Reports can be scheduled for automatic generation and distribution, with customizable formats for different audiences.
Absolutely. Sourcetable uses enterprise-grade security including end-to-end encryption, SOC 2 compliance, role-based access controls, and audit logging. Your network data remains under your control, and you can configure on-premises or private cloud deployment options for sensitive environments.
Most teams are analyzing their network data within hours, not days. The setup process involves connecting your data sources (often just providing API credentials or uploading files), letting the AI prepare your data, and starting your analysis. No complex software installation or specialized training required.
Yes, Sourcetable is designed to handle enterprise-scale network data. Whether you're analyzing millions of SNMP polls, gigabytes of log files, or real-time streams from hundreds of devices, the platform scales to meet your needs while maintaining fast query performance.
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.