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	<title> &#187; Relevant Parties</title>
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		<title>Business Process Driven BI – An Example</title>
		<link>http://www.dataspace.com/blog/business-process-driven-bi-an-example/</link>
		<comments>http://www.dataspace.com/blog/business-process-driven-bi-an-example/#comments</comments>
		<pubDate>Thu, 21 Jan 2010 16:31:53 +0000</pubDate>
		<dc:creator>btaub</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Data Warehousing]]></category>
		<category><![CDATA[Latest]]></category>
		<category><![CDATA[Amp]]></category>
		<category><![CDATA[Assumption]]></category>
		<category><![CDATA[Bp]]></category>
		<category><![CDATA[Budget]]></category>
		<category><![CDATA[Business Process Design]]></category>
		<category><![CDATA[Business Processes]]></category>
		<category><![CDATA[Business Tools]]></category>
		<category><![CDATA[Central Michigan University]]></category>
		<category><![CDATA[Decreases]]></category>
		<category><![CDATA[Department Managers]]></category>
		<category><![CDATA[Driven]]></category>
		<category><![CDATA[Forecast Changes]]></category>
		<category><![CDATA[Hospital Administrators]]></category>
		<category><![CDATA[Hospital Executives]]></category>
		<category><![CDATA[Population Increases]]></category>
		<category><![CDATA[predictive analytics]]></category>
		<category><![CDATA[Relevant Dimensions]]></category>
		<category><![CDATA[Relevant Parties]]></category>
		<category><![CDATA[Statisticians]]></category>
		<category><![CDATA[Time Of Day]]></category>
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		<description><![CDATA[A quick example of how BI &#38; BP (business process) should go hand in hand&#8230; Working with statisticians from Central Michigan University, we&#8217;ve jointly developed PVForecaster, a product that allows hospital administrators to forecast their patient volumes on an hour-by-hour, specialty-by-specialty basis.  Tactically, the result is better control over scheduling and costs.  Strategically, PVForecaster helps [...]]]></description>
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