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<h2 style="text-align: center; font-size: 150% !important; padding-bottom: 15px !important;"><strong>Data Mining</strong></h2>
<p style="text-align: center; padding-bottom:10px"><strong><span style="color: #3f5410;">Challenge: How do I identify, flag, and tag<br>large volumes of data to produce actionable information?</span></strong></p>
<ul style="text-align: center; margin-top:0px; padding-bottom:0px">
	<li style="text-align: left;">Collect and analyze the right programmatic data quickly and efficiently</li>
	<li style="text-align: left;">Anticipate risks to program execution before they occur</li>
	<li style="text-align: left;">Provide leadership with accurate forecasts of program health and risks</li>
</ul>
<p style="text-align: center; padding-bottom:10px"><strong><span style="color: #3f5410;">Our predictive analytics provide advance insights into potential program deficiencies and their impacts</span></strong></p>
<ul style="text-align: center; margin-top:0px">
	<li style="text-align: left;">A proven cross-functional process framework promotes broad participation and consensus</li>
	<li style="text-align: left;">Predictive analytics employ proven metrics that point to root causes and consequent impacts</li>
	<li style="text-align: left;">Automated data collection and reporting eases implementation burdens</li>
	<li style="text-align: left;">Interactive dashboards enable "what-if" drills to quickly test potential scenarios</li>
	<li style="text-align: left;">A focused set of options drives key program cost/schedule/performance risk mitigation actions</li>
</ul>
<p style="text-align: center; padding-bottom:10px"><strong><span style="color: #3f5410;">Advance insights into risks help you build practical mitigation plans to head off adverse consequences</span></strong></p>
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<strong></strong>
<ul>
	<li>Manage delivery of required operational capabilities</li>
	<li>Deliver quicker, less costly capabilities to the field</li>
	<li>Do it all within a static or shrinking budget</li>
	<li>Is it possible to identify all potential data sources and connect to them all?</li>
	<li>Is there a way to achieve this without expensive effort and tools?</li>
	<li>How can disparate pieces of data form actionable information?</li>
</ul>
<strong>Our data mining process is simple, efficient, and effective, helping decision makers realize value in big data environments.</strong>
<ul>
	<li>Manage delivery of required operational capabilities</li>
	<li>Deliver quicker, less costly capabilities to the field</li>
	<li>Do it all within a static or shrinking budget</li>
	<li>Act on data inquiries within compressed timelines</li>
	<li>Analyze your data for trends and informational insight</li>
	<li>Reduce analyst overhead while producing higher quality information</li>
</ul>
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<a href="http://thedecisionforge.com/wptest/wp-content/uploads/2011/07/grey-globe_trn.png"><img class="size-medium wp-image-4147 aligncenter" title="Data Fusion From Many Sources" src="http://thedecisionforge.com/wptest/wp-content/uploads/2011/07/grey-globe_trn-300x211.png" alt="" width="330" height="232" /></a>
<p style="text-align: center;"><strong>Example: US Marine Corps Forces Reserve</strong></p>
<strong>Challenge:</strong> Combine data from multiple external and internal sources in order to identify key trends and improve decision making around future facility planning

<strong>Solution: </strong> Our staff led the development of a framework for optimizing site selection for future facility consolidations and divestitures, developing decision support analytics by mining and structuring data spanning multiple categories, including demographic, financial, manpower, and geospatial.

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We employ a staged data mining and aggregation process that integrates our technical expertise with our Six Sigma process improvement experience.

<a href="http://thedecisionforge.com/wptest/wp-content/uploads/2011/07/General_Data_Mining_Process.png"><img class="aligncenter size-full wp-image-4168" title="General_Data_Mining_Process" src="http://thedecisionforge.com/wptest/wp-content/uploads/2011/07/General_Data_Mining_Process.png" alt="" width="518" height="448" /></a>