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	<title>Cross Collaborate&#187; data analysis</title>
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	<description>Learning About Collaborative Governance</description>
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		<title>Making Sense of Data through Visualization</title>
		<link>http://www.crosscollaborate.com/2010/01/making-sense-of-data-through-visualization-2/</link>
		<comments>http://www.crosscollaborate.com/2010/01/making-sense-of-data-through-visualization-2/#comments</comments>
		<pubDate>Fri, 29 Jan 2010 18:11:09 +0000</pubDate>
		<dc:creator>John Folk-Williams</dc:creator>
				<category><![CDATA[Visualization]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[diagram]]></category>
		<category><![CDATA[pattern]]></category>
		<category><![CDATA[process]]></category>
		<category><![CDATA[visual thinking]]></category>

		<guid isPermaLink="false">http://www.crosscollaborate.com/?p=1667</guid>
		<description><![CDATA[Produced by the Department of Energy&#8217;s Pacific Northwest National Laboratory, this visualization presents an example of a process of data analysis. The diagram contains a lot of information expressed in jargon that takes a while to understand, but the essence of the process is captured in one unifying image that provides a clear framework for [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://commons.wikimedia.org/wiki/File:Data_visualisation.jpg"><img src="http://www.crosscollaborate.com/wp-content/uploads/2010/01/PNNL-Data-Analysis-Visualization-550x337.jpg" alt="PNNL Data Analysis Visualization 550x337 Making Sense of Data through Visualization" title="PNNL-Data-Analysis-Visualization" width="550" height="337" class="alignnone size-large wp-image-1674" /></a></p>
<p>Produced by the Department of Energy&#8217;s <a href="http://www.pnl.gov/cogInformatics/hii_applications.stm">Pacific Northwest National Laboratory</a>, this visualization presents an example of a process of data analysis. The diagram contains a lot of information expressed in jargon that takes a while to understand, but the essence of the process is captured in one unifying image that provides a clear framework for interpretation. You can go as deeply as you want into the details, but the overall structure is clear.</p>
<p>To get a better sense of how the diagram works, you should click on the image or <a href="http://commons.wikimedia.org/wiki/File:Data_visualisation.jpg">this link</a> to see a larger version at Wikimedia.</p>
<p>The example concerns the interpretation of data to facilitate the identification of insider cyber security attacks. The diagram integrates several types of information to give a concise but comprehensive overview of a complicated process. It also exactly parallels the process of visual thinking <a href="http://www.crosscollaborate.com/2009/12/the-back-of-the-napkin-visualizing-communicating-ideas/">described by Dan Roam</a> in his book, <a href="http://www.amazon.com/gp/product/1591843065?ie=UTF8&#038;tag=storiedmindco-20&#038;linkCode=as2&#038;camp=1789&#038;creative=9325&#038;creativeASIN=1591843065">The Back of the Napkin</a><img src="http://www.assoc-amazon.com/e/ir?t=storiedmindco-20&#038;l=as2&#038;o=1&#038;a=1591843065" width="1" height="1" border="0" alt=" Making Sense of Data through Visualization" style="border:none !important; margin:0px !important;" title="Making Sense of Data through Visualization" />.</p>
<p>As described in the diagram, the process consists of four steps:</p>
<ul>
<li>
<p>Assembling a flow of data from multiple sources, including email, traffic within the firewall, traffic coming from outside the firewall</p>
</li>
<li>
<p>Observing the data to identify discrete &#8220;states&#8221; such as instant messaging, websites, file sizes, etc</p>
</li>
<li>
<p>Processing these states to identify actions or events, e.g. disregarding data policies, harvesting proprietary data and suspicious communications</p>
</li>
<li>
<p>Assess these actions to construct patterns of suspicious behavior that point to an attempted security breach by an insider.</p>
</li>
</ul>
<p>The steps of the underlying process, apart from this context, are similar to those used by Roam to capture visual thinking. His everyday language couldn&#8217;t be simpler: look, see, imagine, show.</p>
<ul>
<li>
<p>Look: What is out there?</p>
</li>
<li>
<p>See: What categories and patterns emerge?</p>
</li>
<li>
<p>Imagine: What are the connections that add new meaning?</p>
</li>
<li>
<p>Show: Here&#8217;s what I think it all means.</p>
</li>
</ul>
<p>The last step involves finding an effective way to present conclusions that tie everything together. In this diagram, the staff used a series of simple boxes and arrows to indicate the basic flow of process steps.</p>
<p>The relatively complicated verbal content identifies three levels of meaning: descriptions of the products of each step in the top row of boxes; a brief description of the action performed during each step between the two rows of boxes; and lastly the types of information studied or inferred in each step.</p>
<p>But they also added a flow of images that helps bring the process to life in an easy-to-understand pattern. Putting pieces of a puzzle together is one of the most overworked of all visual metaphors, but here it looks fresh and effective.</p>
<p>The PNNL site also has several <a href="http://www.pnl.gov/cogInformatics/hii_publications.stm">technical papers to download</a> that explain the theoretical background on the visualization process and its application in a training context.</p>
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<p>Related posts:<ol><li><a href='http://www.crosscollaborate.com/2009/12/the-back-of-the-napkin-visualizing-communicating-ideas/' rel='bookmark' title='Permanent Link: <em>The Back of the Napkin:</em> New Approaches to Visualizing and Communicating Ideas'><em>The Back of the Napkin:</em> New Approaches to Visualizing and Communicating Ideas</a></li>
</ol></p>]]></content:encoded>
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