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History in the Making
Recently, VAI played a major role in providing the technology bridge for information sharing between a federal
and state agency. Although the details associated with this historic event are not yet publishable, it marks
the first time this type of cooperation and support has been documented as a production capability.
Using a DIG Server-to-Server
coupling on a VPN network, transversing several firewalls, the remote site
(State Agency) was able to authenticate, query, and acquire data from the data server (Federal Agency) in
real time. Based on the security and access rights granted to the State, only the authorized sources are used
for the data extractions.
Although agencies have shared data using other types of remote data access including using terminal emulations,
web portals, or specialized applications/protocols - this represents the first time actual data was securely
queried and accounted in a batch process allowing the State Agency to incorporate the results into their own
localized analytics.
In the post 9/11 administration, many organizations have expressed the need to share data in order to
"connect the dots" and to see the bigger picture. A number of systems, networks, and approaches have
been deployed to help provide this capability to the community. Until now, the progress has been
somewhat limited and in the almost 3 years that have passed many agencies are still not actively
sharing information. With our latest coupling between the Federal and State governments we expect
to see a rapid increase in the willingness of agencies to share their data with others. In fact,
we have assembled the following five topics to consider for sharing data:
- Avoid the creation of a centralized warehouse - the resources necessary to consolidate data can be expensive and time consuming. Using a virtual warehouse through a distributed data sharing model provides a more flexible, adaptable, and scalable system.
Continued on VAI News page
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Better, faster, and cheaper. The Data Clarity Suite from Visual Analytics provides an unparalleled offering in the
marketplace for combining data analytics and information extraction capable of handling virtually any type of data
environment. The technology was designed from over 20 years of experience in the high-end analytical marketplace across virtually every domain.
The demand for a better, faster, and cheaper solution is realized today with the
integration between VisuaLinks and DIG. Learn more about the Data Clarity Suite on the VAI web site.
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VisuaLinks 3.0 has met with great success since its release over 2 months ago. If you haven’t already,
be sure to visit the VAI Support Site to download the 3.0.2 patch.
The 3.0 Enterprise – with text mining, LAS integration, and much more – has been under development for
several months and we will start to discuss some of its new features in the forthcoming newsletters.
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DIG 2.1 is nearing completion. It has been installed and is being tested in select client environments.
This new release incorporates new capabilities in addition to enhancements to existing features.
Visit our DIG News page for an introduction
to one of the 2.1 features – the Convera® RetrievalWare® coupling.
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Visual Analytics recently spent time in Austria supporting the Iraq Nuclear Verification Office (INVO).
Visit the VAI News page for a summary of this effort.
We have also spent some time streamlining our training offerings to better support our client base.
You can now register for scheduled classes from the Visual Analytics web site.
Find out more details on our VAI News page.
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"..DIG also provides access to unusual sets of data, including death records. Because this tool uses data "as found,"
and does not require data to be gathered, standardized or downloaded, this tool is in sync with the ITAC policy of
agency independence and data ownership.
-DC Government Official
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