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Analysis in a Box
All organizations, government agencies, law enforcement, and commercial businesses want to produce
the best analytical results possible from their available data sets. Often, commercial
systems designed for anti-money laundering (AML), counter-terrorism, or fraud detection
address only a part of the overall needs and functionality necessary to implement an
effective system. Generally, there are different primary subsystems such as database,
access/query, charting/graphing, visualization, reporting, disposition, and other
applications that must come together in a seamless fashion to create a complete solution.
Typically, analytical systems tend to emulate similar architectures that address the
collection, validation, loading, storage, query, analysis, and reporting of data -
collectively called the analysis process. Upon closer review, you will find very little
variation in the processes associated with different analytical systems; whether you are
looking at corporate embezzlement, money laundering and financial crime, narcotics
trafficking, criminal activity, alien smuggling, insurance fraud, or other "find the
bad guy" types of processes.
Of course, different types of analytics will rely more heavily on different capabilities in the system. In the intelligence community, there is much more emphasis placed on text processing, document classification, and entity extraction because most of their data tends to come from free-text messages, cables, or open source reports. In telecommunications, insurance, and banking, much more of the data is represented relationally so there is a stronger interest in the use of visual link analysis, graphs/charts, and network diagrams.
Unfortunately, as with most industries, there is no official roadmap to follow. Thus, there can be a lot of confusion as to which approach to take, what works well, and what doesn't work as well with respect to overall system maintenance, training, and documentation. For example, VAI has an extensive amount of experience with Financial Intelligence Units (FIUs) throughout the world. Each country has a different set of laws, rules, and regulations that must be accommodated in conjunction with the available resources assigned to the FIU. Many times, the FIUs look to established agencies, such as the Financial Crimes Enforcement Network (FinCEN), to provide leadership and direction for creating a baseline capability that they customize and tailor to their own needs.
Continued on VAI News page
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VAI continues to actively support a wide number of federal agencies including the
FBI, IRS, FinCEN, CIA, NSA, and a cadre of specialized DoD programs. Our technologies
provide these agencies with some of the most powerful capabilities in the marketplace
for fulfilling their analytical missions.
Additionally, a growing number of foreign
governments throughout the world (Korea, Thailand, Russia, Poland, Saudi Arabia, etc.)
are also applying VAI technologies in similar fashion.
Furthermore, commercial users
including Deloitte & Touché, Perot, EDS, Lockheed, Verizon, and many others are deploying
our tools into a wide range of markets to deliver new and innovative applications
that are more cost effective and efficient than the traditional systems currently in use.
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| Version 3.0.4 of VisuaLinks has recently been posted on the VAI Support Site.
Those clients under annual maintenance can now download this latest version from
support.visualanalytics.com.
In addition to resolving some inconsistencies, minor errors, and miscellaneous bugs,
this release includes a number of optimizations. To see the release notes for this version,
please click here.
Upgrading your current version to 3.0.4 is easy and can be done quickly - our support team is
standing by to help should you have any questions. Stay tuned, because version 3.5
(currently in beta) will be available soon.
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This month's DIG News brings you a step-by-step method for deploying .NET Framework Code Groups enterprise-wide. This article aims to help administrators of large-scale DIG environments enable all of their users to access the DIG Client from a web browser without having to manually configure each machine.
Next month's issue will again focus on the upcoming 3.0 release. Check back here next month for more exciting news on this important release.
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VAI has continued its international expansion with new systems being implemented in
Russia, Poland, Uruguay, Brazil, and Korea. Our technologies are supporting proactive
data analytics to expose new patterns and help uncover critical information. Read more
about the latest successes in exposing insurance fraud by the Financial Supervisory
Services (Korea) in our VAI News section.
Additionally, VAI has recently signed a technology partnership agreement with Basis
Technology, a market leader for multilingual computing solutions, to incorporate their
Rosette® Entity Extractor (REX) into the Data Clarity Suite. To read more about this
partnership, read the press release at:
http://www.visualanalytics.com/PressRelease/2004-09-23-prnews.html.
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We find new uses for your tools every day. There are many benefits we find using VAI technologies including the following:
- More relevant analysis
- Fewer false positive hits
- Less time wasted reviewing insignificant transactions
- Analytical functions not possible any other way
- Better communications with policy makers and regulators
- Commercial Analyst (Financial Sector)
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