Altair Panopticon

Altair® Panopticon™ 应用

Panopticon visual analysis dashboard technology is designed to handle virtually any data source, including real-time message buses, complex event processing (CEP) engines, column-oriented tick databases, OData sources, and standard relational databases. Our customers use it to support the continuous optimization of their operations.

  • Monitor: Identify anomalies, outliers, trends, and clusters in massive amounts of fast-changing data.
  • Investigate: Examine the historical time series of all events leading up to an anomaly.
  • Backtest: Discover how adjustments to inputs, settings, and other parameters will affect performance.
  • Optimize: Based on the results of backtests, update thresholds and configurations for external systems directly from the analytics dashboard.
了解有关 Panopticon 的更多信息


Buy side and sell side firms use Panopticon to highlight anomalies, trends, clusters, and relationships in electronic trading data. Firms can analyze trading activity down to the individual tick and sequence ID.


Compliance officers use the platform to analyze historic order flow for execution policy breaches, view live execution performance, and compare execution histories to past activities and market data across all liquidity and execution venues in use.


Panopticon enables risk managers to perform intraday analysis of risk profiles at the office, desk, and trader levels, analyze liquidity in compliance with BCBS 248 rules, and identify value at risk (VaR) and sensitivity trends across all book and instrument hierarchies.



物联网 (IoT)

Business users, analysts, and engineers can access, process, monitor, and analyze the incredible volume of real-time information streaming in from connected devices, vehicles, equipment, and sensors in the fast-evolving IoT world.

剩余使用寿命 (RUL) 分析

Panopticon 可以处理任意数量的生产机器产生的关于热、速度、压力和其他因素的实时传感器数据,与历史数据进行动态比较,并放大机器学习算法的准确性。


利用传感器数据识别机器部件的异常行为或模式,可以防止小故障造成重大操作问题。Panopticon 可以在不降低整体设备效率 (OEE) 的情况下标记潜在的严重问题。




Oil and gas producers, pipeline and electrical grid operators require up-to-the-second views of exactly how systems are performing. In most circumstances, the faster they can respond to an issue, the more efficiently they operate. Specific use cases include oil and gas production analysis, grid utilization monitoring, profitability analysis, capacity analysis, project performance monitoring, and customer service monitoring for call centers.


Panopticon 为电信网络运营商提供了有效方法来关联和分析来自路由器、信号塔、控制系统和第三方系统的数据流,从而做出有洞察力的明智决策。他们可以在小问题变成大故障之前发现它们,识别维护方面的不足,实时监控和响应网络和基础设施问题,主动检测并防止收入流失和欺诈。


Panopticon Demo: Visualize Real-Time Telemetry Data from Formula 1 Cars

In this demo, real-time telemetry data from a simulated Formula 1 car on the Austria-Spielberg track is being delivered to Panopticon,

Use Cases

Monitor Performance of a Trucking Fleet in Real Time using Altair Panopticon

Panopticon enables fleet operators to analyze critical data streaming in from sensors and other sources.

Use Cases

Panopticon Demo: Build Stream Processing Applications with Zero Coding

Panopticon Streams, a stream processing engine built on the popular Apache Kafka platform, enables business users to build sophisticated Kafka data flows with no coding. Streams connects directly to a wide range of streaming and historic information sources, including Kafka, Kx kdb+, Solace, Hadoop and NoSQL sources. Streams supports critical data functions including: - Streaming Data Prep: Combines multiple real-time streams with historic data sources - Calculation Engine: Calculates performance metrics based on business needs - Aggregation Driver: Combines data as needed - Alerting Engine: Highlights anomalies against user-defined thresholds - Integration with the Confluent Enterprise Control Center - Expanded support for IoT environments, including manufacturing, energy/utilities, and transportation/logistics The engine is designed to be used by people who understand their business problems. They can create their own data flows utilizing data from any number of sources and incorporate joins, aggregations, conflations, calculations, unions, merges, and alerts into their stream processing applications. They can then visualize processed data using Panopticon Visual Analytics and/or output it to Kafka, Kx kdb+, InfluxDb, or any SQL database.

Quick Start

Analyze Aggregated Client FX Flow with Altair Panopticon

Forex markets are becoming more electronified and participants are more diversified. Combine that with the explosion of trading venues and the FX market is today more complex and fragmented than ever before.