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