Using Visualization to Meet Big Data Challenges in Capital Markets

The world of financial services is not short on data; however, there is a shortage of tools that can handle everything the banks need to look at. The world of finance has an absolute need to work with what the industry is now calling Big Data, which presents many technical challenges to visualization systems. This paper explores the requirements and use cases involving Big Data in Capital Markets and explains how a properly designed data visualization system allows traders and portfolio managers in large firms to visualize all the data resources available to them effectively.

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Conceptual Fundamentals of Effective Data Visualization Systems

This paper explores the science of human visual perception as applied to data visualization techniques and explains the important choices that Panopticon's designers and engineers have made to enable fast comprehension of time critical data in a variety of business environments, including capital markets and telecommunications.

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Treemap Visualizations for Analyzing Multi-Dimensional, Hierarchical Data Sets

Treemap data visualizations allow users to identify important values in seconds and drill down to obtain as much detail as needed. This paper explains how Treemaps work and their value as an analytical tool for large, complex data sets.

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Steve Leegood, Director for Bryok Systems Limited, on Algorithmic Surveillance

This paper explores algorithmic surveillance of the financial markets, identifying benefits over traditional methods, and provides an example of the techniques developed by Bryok's Colucida research project. A range of new techniques is needed to detect anomalous outcomes reflecting emerging forms of trading activity or activity leading to unfair or disorderly markets not readily detected by traditional methods. Bryok has prototyped an innovative approach to detection of such anomalies using modern statistical and mathematical techniques.

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Global Association of Risk Professionals (GARP) on Risk Management Systems in the Aftermath of the Financial Crisis

A survey of 5000 professional risk managers around the world provides insight into the technology risk managers are using or planning to acquire, how often they update results, and the role of the front and back office in risk management.

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Data Visualization & Complex Event Processing (CEP) in Capital Markets Applications

This paper explores the benefits of using OLAP-enabled data visualization tools specifically designed to cope with the real-time output of CEP engines in a capital markets environment. Applications include counterparty and liquidity risk analysis, porfolio performance, trader surveillance, and execution monitoring.

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The Business Value of Adding Interactive Data Visualization Tools to OEM Software Applications

Advanced data visualization tools allow Independent Software Vendors (ISVs) to offer clients completely new OLAP-enabled dashboards for interactive visual analysis of the data contained in the system. This paper explores the benefits of adding data visualization components to OEM applications in terms of development risk, sales potential and competitive positioning.

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Delivering Real-Time Business Intelligence with Complex Event Processing (CEP)

Analyst Seth Grimes explores CEP and the extension of BI interfaces and applications to support event-driven, real-time, operational BI and automated decision making.

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The Business Value of Business Intelligence

People have come to expect highly interactive, well-designed and intuitive visual interfaces in the systems they use in everyday life. Successful BI systems are just as easy to use. Analyst Martin Butler reviews the benefits, costs and risks associated with BI implementation.

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Fundamental Differences in Analytical Tools

When you shop for analytical software, it’s important to know which of these objectives you’re hoping to achieve so you can carefully confirm that products aren’t just good, but are a good fit for you. Data Visualization Expert Stephen Few examines how to compare visual data analytics systems and develop selection criteria appropriate for your specific requirements.

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