-Caveat Lector-
 
Law Enforcement Information-Sharing Network Rapidly Expanding Using Next-Generation Analytical Technologies
    POOLESVILLE, Md., Oct. 31 /PRNewswire/ -- Visual Analytics, Inc. (VAI)
recently announced the successful deployment of the Digital Information
Gateway (DIG) server-to-multi-server capability to enable law enforcement and
homeland defense information-sharing networks.  Since the announcement last
week, additional participants have joined in -- building rapidly on the
success of the recent live demonstration at the International Association of
Chiefs of Police (IACP) Conference in Philadelphia, PA.
     The New Jersey High Intensity Drug Trafficking Area (HIDTA) and Data
Mining for Law Enforcement (DMLE) have joined the Philadelphia/Camden HIDTA
and the Washington-Baltimore HIDTA in using Visual Analytics' DIG and
specialized data mining and online data services.  The project is in
cooperation with the University of Maryland, National Institutes of Justice,
University of West Virginia, and the West Virginia State Police.
    Uniquely, the New Jersey, Philadelphia/Camden, and Washington-Baltimore
HIDTAs and DMLE can now access, retrieve, analyze, and collaborate on
information from a "Collective Knowledge Base" that includes distributed
databases, documents, and web sites simultaneously -- enabling proactive
analysis for these safety and law enforcement agencies.
    Unlike other approaches, which require a centralized data warehouse where
all information must be sent, the server to multi-server (S2MS) approach
employed by DIG provides a secure, more powerful, maintainable, and cost-
effective method for sharing data without the need for supercomputers,
recurring costs, or extensive infrastructure expansion.  Using DIG,
information is always up-to-date, accounting logs can be locally checked, and
access granted/denied on a moment's notice.  Privacy concerns are virtually
eliminated because all control remains with the agency.  Furthermore,
depending on the needs of the agency, the DIG system can be configured to
return the actual data or a pointer-index for positive query results that
keeps the actual data secure and hidden while providing a reference to
initiate follow-up requests.
    The number one priority of the Department of Justice and Homeland Defense
is effective and secure information-sharing between federal, state, and local
agencies.  DIG effectively addresses the need by enabling network-centric
collaboration and analyses where federal, state, and local law enforcement and
public safety providers become information nodes on a network.  This
architecture allows for local ownership and control of data, provides more
timely and current information to end users, and is cost-effective.
    Bennett McPhatter, COO of VAI, comments, "VAI is seeing rapid acceptance
and implementation of DIG server-to-multi-server capabilities because it
directly meets the needs of federal, state, and local law enforcement and
homeland defense for information sharing.  VAI will continue to execute and
deliver robust capabilities as more members join and the network grows and
becomes a blueprint for data sharing solutions."
    DIG is part of the "Data Clarity" suite of analytical tools from Visual
Analytics that offers a full spectrum of features for searching, analyzing,
sharing, and reporting.  VAI's technology is commercially available and can be
provided at discount to qualified law enforcement agencies.

    About Visual Analytics
    Founded in 1998, Visual Analytics, Inc. (VAI) is a privately-held,
veteran-owned company based in the Washington, DC metropolitan area focused on
Superior Pattern Discovery Solutions for Knowledge Discovery.  VAI serves a
wide-range of markets dealing with complex issues that need advanced data
analyses and data mining.  VAI has created a suite of advanced tools called
Data Clarity, including VisuaLinks(R) and Digital Information Gateway
(DIG(TM)), which are used to search, manipulate, structure, and present data
for analysis.  More information on VAI can be found at
http://www.visualanalytics.com

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