Datawatch has announced the general availability of Datawatch Panopticon 13.7, providing faster visual data analysis for trading, risk and compliance markets. The new features enable buy-side and sell-side firms, and exchanges to perform Big Data analysis of e-trading data both in real-time as well as intra-day and historically to gain insights that speed decision making.
Regulatory demands in the United States and Europe have made order transparency essential. However, the fragmentation of liquidity, increased data volumes and the focus on transaction timing and associated round trip latency hinder organizations' ability to achieve it. Datawatch Panopticon is purpose-built to integrate into e-trading data environments and gives users the ability to immediately detect anomalies across real-time streaming, intra-day and historic time series. This new edition of the software directly aligns with customers' requirements for demonstrating best execution across all asset classes, and technologists' requirements for supporting big data architectures.
Datawatch Panopticon 13.7 introduces new visualizations, predictive analytics and Big Data connectivity capabilities, all of which empower users to monitor data in real-time, investigate historical performance and instantly take action to improve business profitability. From analytical dashboard design and publishing, to secure access through a web browser, users get an unprecedented view of their operational data. The software allows users to easily jump from order execution monitoring and analysis, to drilling into execution history and review of historic order flow.
Key features of Datawatch Panopticon 13.7 include:
Real-time streaming updates: Addition of web socket and Apache Kafka connectivity;
Intra-day and historic time series: Playback through tick time, stepping backwards and forwards and resampling down to individual transactions;
Tick data connectivity: Improved direct OneMarketData OneTick and Kx Systems kdb+ connectivity;
Big Data connectivity: Connectivity with widely used big data platforms including Cloudera Impala, Spark SQL, Kafka and Cassandra;
Visual analysis: Advanced, new visualizations plus improved cross tabbing, axis scaling and outlier screening.
To learn more about Datawatch Panopticon 13.7, join Datawatch for a product demonstration webinar on June 1 at 11 a.m. EST.