DataVista Explorer™ is a Java™ applet that is ideal for the display and analysis of a wide range of numerical data. It is particularly well-suited for displaying hierarchical data sources such as those commonly found in financial services and telecommunications applications

For example, suppose that you have data relating to the performance of several portfolios and their constituent assets. DataVista Explorer allows you to view the data at a portfolio level, while providing the facilities for drilling down to the asset level. Other common applications for DataVista Explorer include portfolio analysis, risk management and the monitoring of market conditions. The applications of DataVista Explorer are not limited to those within the financial arena: it is also adept at monitoring network conditions and web-site statistics.

DataVista Explorer supports a pluggable data architecture, enabling the display of any proprietary data source in addition to JDBC and data stored within its open, XML-based configuration file.
Compatibility with any browser or operating system with a Java™ Virtual Machine (JVM).
A wide range of visualization tools to improve data comprehension and accessibility
Support for dynamic data from a variety of data sources, including proprietary databases and feeds.

An intuitive interface that ensures a shallow learning curve and quick adoption

Pluggable aggregation system that supports your application requirements.
DataVista Explorer Benefits
Reduced Total Cost of Ownership through thin-client implementation
Improved decisions reducing waste, errors and costly delays
Dynamic data handling to ensure decisions reflect current conditions
Easy integration into your systems with reduced maintenance and implementation costs
Hierarchy Navigation
The user navigates through the data hierarchy by interacting with a familiar tree-based browser on the left side of the applet, or by interacting with the visualization tool located to the right. Drilling down or aggregating up is as simple as a single mouse click on the tree or chart object. Data aggregation is achieved through the application of one of several built-in formulae (including summation, averaging, net and gross returns) or through an extremely flexible pluggable interface. In this way, all possible aggregation algorithms can be readily implemented.
Visualization Tools
A wide range of charting tools enhances the user's ability to display and understand data. These tools include the following:
Pie chart
Hierarchy map
Bar chart

Stacked line chart

Color grid
Scatter plot
Bubble plot
Gradient scatter plot
Gradient bubble plot
Line chart
Data table
The hierarchy map visualization tool is a very powerful means of displaying a large quantity of data in an intuitive, compact format. As displayed in the figure below, the size of a box is proportional to market value whereas the color of the box is proportional to the return. In this way, market trends and patterns come to light immediately.
Dynamic Data
DataVista Explorer also provides a powerful framework for monitoring dynamic data sources. The Internet has significantly increased the necessity for quick reactions to rapidly changing conditions. This is particularly the case in financial, network and web site monitoring applications. DataVista Explorer enables the display of a high-level view of current conditions while leaving open the option to drill into information to obtain a detailed picture of the causes driving macroscopic conditions.
Data Access
DVE may obtain its data from one of three sources, ensuring that it can seamlessly integrate into most enterprise architectures. The first source is an open, XML-based format, compatible with many of the emerging XML-aware applications. Secondly, data may be imported from any JDBC-compliant data source (which includes all ODBC data sources through a JDBC-ODBC bridge). Lastly, a pluggable architecture allows any Java™ object implementing a simple, well-documented interface to serve as a data source.
Data sources may be grafted into any section of the hierarchy tree. This enables heterogeneous data sources to be included within the same interface, thereby providing a single interface to enterprise-wide data.
You may download a PDF brochure for DataVista Explorer here.


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