Bookmark and Share

Email This Page
Print This Page

Privacy Policy | Disclaimers

© 2010 Panopticon Software.
All rights reserved.

Monitor and Analyze Risk
with interactive real-time dashboards

Treemap data visualisations for Market Risk Dashboard application
This Market Risk Analysis Dashboard uses a Treemap, a Heat Matrix and Scatter Plots and provides extensive OLAP-enabled filtering capabilities.
 
Use Treemap and HEatmap Dashboard Software to Analyze Risk Data in Capital Markets Firms.
 
Watch a video tutorial showing how to use Panopticon in a Counterparty Risk Analysis application.
 
This video tutorial explains how Panopticon supports Market Risk Analytics requirements in a fund management scenario.

Clients use Panopticon data visualization software to monitor risk limit usage and to analyze risk data generated by an external risk engine. Our dashboards help users spot problems and opportunities in the data faster than is possible with any traditional reporting system.


Common use cases include:

 

Full range of functionality for analyzing risk data

Whether you are looking at risk in real time, intraday, end of day, or on a historic basis, Panopticon supports key functions that make risk analysis much more effective and efficient, including the ability to:

  • Subscribe to full and parameterized streams from a CEP engine
  • Display and interact with hierarchies like book structure, product structure, counterparty structure, geographic, industrial, issuer rating, asset class, and so on
  • Dynamically change additive hierarchies and aggregate values based on end-user interaction
  • Drill and jump between data dimensions (for example, jump from book to positions to instrument to counterparty)
  • Perform risk aggregation and netting
  • Handle non-additive data sets like Value at Risk (VaR) where the aggregates must be retrieved from an external risk calculation engine
  • Time window and time period analysis to identify delta changes between time period
  • Visualize trends, clustering, correlations, and outliers