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</section> </section>
<section> <section>
<title>Case Studies</title> <title>Case Studies</title>
<section><title>Sunshine Systems</title>
<p>
<link href="http://www.sunshinesys.com">Sunshine Systems</link> deveveloped a
POI based reporting solution for a price optimization software package which
is used by major retail chains.
</p>
<p>The solution allowed the retailer's merchandise planners and managers to request a
markdown decision support reports and price change reports using a standard browser
The users could specify report type, report options, as well as company,
division,
and department filter criteria. Report generation took place in the
multi-threaded
application server and was capable of supporting many simultaneous report requests.
</p>
<p>The reporting application collected business information from the price
optimization
application's Oracle database. The data was aggregated and summarized
based upon the
specific report type and filter criteria requested by the user. The
final report was
rendered as a Microsoft Excel spreadsheet using the POI HSSF API and
was stored on
the report database server for that specific user as a BLOB. Reports
could be
seamlessly and easily viewed using the same browser.
</p>
<p>The retailers liked the solution because they had instantaneous access
to critical
business data through an extremely easy to use browser interface. They
did not need
to train the broader user community on all the complexities of the optimization
application. Furthermore, the reports were generated in an Excel spreadsheet
format,
which everyone was familiar with and which also allowed further data
analysis using
standard Excel features.
</p>
<p>Rob Stevenson (rstevenson at sunshinesys dot com)
</p>
</section>
<section> <section>
<title>Bank of Lithuania</title> <title>Bank of Lithuania</title>
<p> <p>