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Comparing Apples and Oranges
Some of our readers have expressed an interest in learning more about the difference between VisuaLinks and other technologies available in the marketplace. However, the differences at “face value” are not as apparent as one might think when it comes to different types of technologies including neural network systems. As for the basic underlying method for solving problems, neural networks represent an entirely different genre of technology in terms of how they approach a given situation. Often, the only overlap between approaches such as neural networks and VisuaLinks is that the technologies are competing in the same market segments and for the same contracts. In reality, the differences are enormous. The simplest answer we can provide in this forum regarding their true differences is in the type of results produced.
VisuaLinks is architected to support enterprise-level data analytics and is designed to address the entire analytical process, from end-to-end (from accessing data to final reporting). VisuaLinks directly supports the end-user analysts. We have taken into account the "gray matter" (e.g., the analysts' brain) which should always be included in the decision making process. It is not as automated as many people would like, but the patterns exposed are of much higher-quality than any other approach. Today, a host of VisuaLinks systems are installed and running on operational data and have been successful at exposing patterns and networks very quickly. The return on investment (ROI) is almost immediate with VisuaLinks.
In fact, the features and functions of VisuaLinks have defined an entirely new analytical industry and represent the benchmark for all other systems to compare against. The advantages of VisuaLinks over other neural network, visualization, or link analysis systems is very straightforward and is usually proven during "competitions" or "bake-offs" with other vendors.
Neural networks have been around for some time and have been successfully used in a large number of real world applications ranging from credit scoring systems to stabilization of video images. They are heavily based on mathematical calculations and are primarily used for classification or clustering as well as prediction and estimation. This discussion is not meant to be a neural network training supplement. Rather, it is to help clarify neural network limitations and differences with respect to VisuaLinks.
continued on the VAI News page
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It's August, it's summer, it's hot - and so is Visual Analytics.
We have been busy with conferences, VisuaLinks version 2.1 and enhancing DIG. We have added new staff and we have penetrated new markets. Read on for a glimpse into the sizzling lives we lead at VAI.
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This month's VisuaLinks News section provides a number of resources including a discussion that compares and contrasts Proactive and Reactive analyses as well as an overview of the mapping tool.
This month's Link Chart illustrates the ability of VisuaLinks to discover compliance issues in Money Service Businesses.
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Visual Analytics recently celebrated a major milestone - our 5 year anniversary!
Even in the midst of all the celebration, we were once again very busy attending trade shows and conferences. See the VAI News page for conference feedback.
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Recent Customer Feedback
"VisuaLinks has proven to be a powerful tool for data visualization and has been invaluable in weeding out interesting patterns and relationships between entities that would otherwise normally be overlooked when viewed via traditional means, e.g., spreadsheets, SQL queries, reports etc."
A Senior Researcher at the U.S. Dept. of Treasury
Use of VAI Materials
As many of our readers know, the LinkLetter contains some very useful and practical information regarding real-world patterns, trends, discussions, and methodologies. It is important to emphasize that these materials, and the information posted on our website, are copyrighted materials. Written approval is required for the use of these materials outside of Visual Analytics. If there are images and/or text that may be of use to your organization in a briefing, proposal, slideshow, or any other type of media, it is necessary and important to obtain written approval from VAI management in advance.
Visual Analytics invests a significant amount of resources in producing quality materials for our user community. When information is used outside of this forum, it is necessary for us to ensure that our Visual Analytics copyrighted information is used in a positive context and properly referenced to give credit to the original authors/creators of such information.
If you are interested in using information contained in the LinkLetter or on our website, please contact info@visualanalytics.com to obtain prior approval. We will work with you accommodate any reasonable request.
For more information, please review the following URL for the details of our disclaimer: http://www.visualanalytics.com/disclaimer.cfm
Send your comments, feedback or other input to newsletter@visualanalytics.com.
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