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  <channel>
    <title>SAS White Papers</title>
    <link>http://www.sas.com/whitepapers/index.html</link>
    <description>Summary Feed of Recent SAS White Papers</description>
    <item>
      <title>A Revolution in Physician Targeting</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=9503&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>In-source analytics-driven intelligence to go beyond decile-based targeting</description>
      <category domain="industry=1900">Life Sciences</category>
      <category domain="topics=0800.0000.0000">Customer Relationship Management</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="offering=on" />
      <category domain="country=on" />
      <pubDate>Wed, 01 Jul 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=9503&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1900" />
          <rdf:value>Life Sciences</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=0800.0000.0000" />
          <rdf:value>Customer Relationship Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.0000.0000" />
          <rdf:value>Analytics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-07-01T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Enterprisewide fraud management</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=5819&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>Analytically powered best practices for detecting, preventing and investigating fraud in financial institutions.</description>
      <category domain="topicsCanada=1100.0000.0000">Fraud Prevention and Detection</category>
      <category domain="techtopicsCanada=on" />
      <category domain="industryCanada=1000">Banking and Financial Services</category>
      <category domain="industry=1000">Banking and Financial Services</category>
      <category domain="topics=1100.0000.0000">Fraud Prevention and Detection</category>
      <category domain="country=on" />
      <pubDate>Wed, 01 Jul 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=5819&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topicsCanada=1100.0000.0000" />
          <rdf:value>Fraud Prevention and Detection</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopicsCanada=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industryCanada=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=1100.0000.0000" />
          <rdf:value>Fraud Prevention and Detection</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-07-01T12:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS Solutions OnDemand</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=3499&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>Redefining the role of application service provider (ASP) by integrating high-value analytic solutions, optimized infrastructure, and the right expert at the right time</description>
      <category domain="industryCanada=on" />
      <category domain="topicsCanada=3300.0000.0000">OnDemand Solutions</category>
      <category domain="industry=on" />
      <category domain="topics=3300.0000.0000">OnDemand Solutions</category>
      <pubDate>Wed, 01 Jul 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=3499&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industryCanada=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topicsCanada=3300.0000.0000" />
          <rdf:value>OnDemand Solutions</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=3300.0000.0000" />
          <rdf:value>OnDemand Solutions</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-07-01T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Risk and Return: striking the right balance</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=9385&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>In light of the global economic slowdown, executives responsible for putting banking on a safer, more promising footing need to ensure they do so armed with the right facts and analysis. A comprehensive Business Analytics framework provides all decision makers with critical insight, not only into what happened in the past, but why it happened, what may happen in the future and how organisations can achieve the best possible outcome when unplanned events occur. This insight can then be used to act confidently and transform the business.  In this uncertain climate, SAS has identified 5 key priorities that should be addressed, highlighting how Business Analytics can help you achieve the best possible outcomes.</description>
      <category domain="industry=1000">Banking and Financial Services</category>
      <category domain="topics=2200.0000.0000">Risk Management</category>
      <category domain="topics=8093.0000.0000">Business Analytics</category>
      <category domain="offering=on" />
      <category domain="country=on" />
      <pubDate>Fri, 26 Jun 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=9385&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=2200.0000.0000" />
          <rdf:value>Risk Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=8093.0000.0000" />
          <rdf:value>Business Analytics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-06-26T12:00:00Z</dc:date>
    </item>
    <item>
      <title>New Product Forecasting Using Structured Analogies</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=9205&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>A new patent-pending approach that may be helpful in certain new product forecasting situations.</description>
      <category domain="industry=on" />
      <category domain="topics=2600.0000.0000">Supply Chain Intelligence</category>
      <category domain="topics=1700.0000.0000">Merchandise Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1009.0000">--Data Visualization</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <category domain="techtopics=1000.1008.0000">--Data &amp; Text Mining</category>
      <category domain="offering=1066">SAS/ETS</category>
      <category domain="offering=1347">SAS Forecast Server</category>
      <category domain="country=on" />
      <pubDate>Fri, 12 Jun 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=9205&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=2600.0000.0000" />
          <rdf:value>Supply Chain Intelligence</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=1700.0000.0000" />
          <rdf:value>Merchandise Intelligence</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.0000.0000" />
          <rdf:value>Analytics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.1009.0000" />
          <rdf:value>--Data Visualization</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.1002.0000" />
          <rdf:value>--Forecasting</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.1008.0000" />
          <rdf:value>--Data &amp; Text Mining</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=1066" />
          <rdf:value>SAS/ETS</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=1347" />
          <rdf:value>SAS Forecast Server</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-06-12T12:00:00Z</dc:date>
    </item>
    <item>
      <title>After the storm</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=9196&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>A new era for risk management in financial services.</description>
      <category domain="industry=1400">Insurance</category>
      <category domain="industry=1000">Banking and Financial Services</category>
      <category domain="topics=2200.0000.0000">Risk Management</category>
      <category domain="techtopics=on" />
      <category domain="offering=on" />
      <category domain="country=on" />
      <pubDate>Fri, 12 Jun 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=9196&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1400" />
          <rdf:value>Insurance</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=2200.0000.0000" />
          <rdf:value>Risk Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-06-12T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Meeting the challenges of governance, risk and compliance</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=9137&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>Achieving financial success with embedded groupwide SAS® Risk Management</description>
      <category domain="industry=1000">Banking and Financial Services</category>
      <category domain="topics=0700.0000.0000">Compliance</category>
      <category domain="topics=2200.0000.0000">Risk Management</category>
      <category domain="country=on" />
      <pubDate>Tue, 09 Jun 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=9137&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=0700.0000.0000" />
          <rdf:value>Compliance</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=2200.0000.0000" />
          <rdf:value>Risk Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-06-09T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Efficient Modeling &amp; Simulation of Biological Warfare Using Innovative Design of Experiments Methods</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=9105&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>Innovative Design of Experiments (DOE) methods can significantly reduce the number of simulations required to model biological warfare (BW) attacks. The methods illustrated by these military experts are applicable to almost any modeling and simulation (M&amp;S) study involving large numbers of variables with many levels. They created a surrogate metamodel of the simulation with which to make suitably accurate predictions of the response output for time consuming (hours) simulation trials not yet run.</description>
      <category domain="industry=1100">Government</category>
      <category domain="offering=1099">JMP software</category>
      <pubDate>Mon, 08 Jun 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=9105&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1100" />
          <rdf:value>Government</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=1099" />
          <rdf:value>JMP software</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-06-08T12:00:00Z</dc:date>
    </item>
    <item>
      <title>How Do You Put "Smart" into the Smart Grid?</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=9082&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>Utilities are challenged to find the best way to use the huge volumes of smart grid data to analyze and forecast demand.</description>
      <category domain="industry=2400">Energy and Utilities</category>
      <category domain="topics=on" />
      <category domain="offering=on" />
      <category domain="country=on" />
      <pubDate>Thu, 04 Jun 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=9082&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=2400" />
          <rdf:value>Energy and Utilities</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-06-04T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Longitudinal data systems in education</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=9012&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>This white paper discusses the drivers and the challenges in implementing a longitudinal data system. It then explores how, with SAS Business Analytics Framework, information gaps among key educational agencies need no longer exist, and decision makers can be armed with the accurate data they need to make proactive decisions and effective education policies.</description>
      <category domain="industry=0800">Education</category>
      <category domain="topics=on" />
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <category domain="techtopics=4000.4001.0000">--Extraction, Transforming, Loading (ETL)</category>
      <category domain="techtopics=1000.1004_2.0002">-- --Statistical Analysis</category>
      <category domain="techtopics=3000.0000.0000">Business Intelligence</category>
      <category domain="techtopics=1000.1008.0000">--Data &amp; Text Mining</category>
      <category domain="techtopics=4000.0000.0000">Data Integration</category>
      <category domain="techtopics=4000.4002.0000">--Data Cleansing and Enrichment</category>
      <category domain="offering=on" />
      <category domain="country=on" />
      <pubDate>Tue, 02 Jun 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=9012&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=0800" />
          <rdf:value>Education</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.0000.0000" />
          <rdf:value>Analytics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.1002.0000" />
          <rdf:value>--Forecasting</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=4000.4001.0000" />
          <rdf:value>--Extraction, Transforming, Loading (ETL)</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.1004_2.0002" />
          <rdf:value>-- --Statistical Analysis</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=3000.0000.0000" />
          <rdf:value>Business Intelligence</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.1008.0000" />
          <rdf:value>--Data &amp; Text Mining</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=4000.0000.0000" />
          <rdf:value>Data Integration</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=4000.4002.0000" />
          <rdf:value>--Data Cleansing and Enrichment</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-06-02T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Scenario Planning and Budgeting: Agility in a Volatile Economy</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=8946&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>Agility in a Volatile Economy</description>
      <category domain="industry=on" />
      <category domain="topics=1000.0000.0000">Financial Intelligence</category>
      <category domain="topics=1800.0000.0000">Performance Management</category>
      <category domain="techtopics=on" />
      <category domain="offering=1067">SAS Financial Management</category>
      <category domain="country=on" />
      <pubDate>Thu, 28 May 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=8946&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=1000.0000.0000" />
          <rdf:value>Financial Intelligence</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=1800.0000.0000" />
          <rdf:value>Performance Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=1067" />
          <rdf:value>SAS Financial Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-05-28T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Getting Started with JMP® Genomics Genetic Analysis</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=8927&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>This white paper, together with our live Web training sessions, is intended to give existing and new customers and evaluators a brief overview of the JMP® Genomics solution and an introduction to some of the features in JMP Genomics 4.0 pertaining to the import of genetics data from external sources and an introduction to the Basic Genetics Workflow and various analysis options, including principal components analysis, linkage disequilibrium and haplotype analysis.</description>
      <category domain="industryCanada=1900">Life Sciences</category>
      <category domain="topicsCanada=5000.5003.0000">--JMP</category>
      <category domain="topicsCanada=3800.0000.0000">Genomics</category>
      <category domain="industry=1900">Life Sciences</category>
      <category domain="topics=5000.5003.0000">--JMP</category>
      <category domain="topics=3800.0000.0000">Genomics</category>
      <category domain="offering=1099">JMP software</category>
      <pubDate>Wed, 27 May 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=8927&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industryCanada=1900" />
          <rdf:value>Life Sciences</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topicsCanada=5000.5003.0000" />
          <rdf:value>--JMP</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topicsCanada=3800.0000.0000" />
          <rdf:value>Genomics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1900" />
          <rdf:value>Life Sciences</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=5000.5003.0000" />
          <rdf:value>--JMP</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=3800.0000.0000" />
          <rdf:value>Genomics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=1099" />
          <rdf:value>JMP software</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-05-27T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Closing the tax gap</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=8793&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>Accurately identify and prioritize tax returns that have a high likelihood of underreporting and a high magnitude of potential collections</description>
      <category domain="industry=1100">Government</category>
      <category domain="topics=on" />
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="offering=on" />
      <category domain="country=on" />
      <category domain="industryCanada=1100">Government</category>
      <category domain="topicsCanada=on" />
      <category domain="techtopicsCanada=1000.0000.0000">Analytics</category>
      <pubDate>Mon, 18 May 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=8793&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1100" />
          <rdf:value>Government</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=1000.0000.0000" />
          <rdf:value>Analytics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industryCanada=1100" />
          <rdf:value>Government</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topicsCanada=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopicsCanada=1000.0000.0000" />
          <rdf:value>Analytics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-05-18T12:00:00Z</dc:date>
    </item>
    <item>
      <title>The Renaissance of Liquidity Risk</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=8751&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>With liquidity risk in the regulatory spotlight, new IT challenges are looming</description>
      <category domain="industry=1000">Banking and Financial Services</category>
      <category domain="topics=2200.0000.0000">Risk Management</category>
      <category domain="techtopics=on" />
      <category domain="offering=1137">SAS Risk Management for Banking</category>
      <category domain="country=on" />
      <category domain="industryCanada=1000">Banking and Financial Services</category>
      <category domain="topicsCanada=2200.0000.0000">Risk Management</category>
      <category domain="techtopicsCanada=on" />
      <pubDate>Thu, 14 May 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=8751&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=2200.0000.0000" />
          <rdf:value>Risk Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopics=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=1137" />
          <rdf:value>SAS Risk Management for Banking</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industryCanada=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topicsCanada=2200.0000.0000" />
          <rdf:value>Risk Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="techtopicsCanada=on" />
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-05-14T12:00:00Z</dc:date>
    </item>
    <item>
      <title>A New Dimension in Risk: Spreadsheet Risk</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=8705&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>How to optimize and better manage the shortcomings of this new risk type</description>
      <category domain="industry=1000">Banking and Financial Services</category>
      <category domain="topics=2200.2205.0000">--Operational Risk Management</category>
      <category domain="offering=on" />
      <category domain="country=on" />
      <category domain="industryCanada=1000">Banking and Financial Services</category>
      <category domain="topicsCanada=2200.2205.0000">--Operational Risk Management</category>
      <pubDate>Tue, 12 May 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=8705&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=2200.2205.0000" />
          <rdf:value>--Operational Risk Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="country=on" />
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industryCanada=1000" />
          <rdf:value>Banking and Financial Services</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topicsCanada=2200.2205.0000" />
          <rdf:value>--Operational Risk Management</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-05-12T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Copy Number and Expression Correlation Analysis with JMP® Genomics</title>
      <link>http://www.sas.com/apps/whitepaper/index.jsp?cid=8619&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</link>
      <description>Statistical methods and software available for identifying common and rare copy number variations (CNVs) are still evolving. Here, tools in JMP Genomics 4 were used to find shared regions of CNV and correlate SNP intensities with
gene expression differences. A similar approach can be applied to examine pairwise correlations between other genomic measures.</description>
      <category domain="industryCanada=1900">Life Sciences</category>
      <category domain="topicsCanada=5000.5003.0000">--JMP</category>
      <category domain="industry=1900">Life Sciences</category>
      <category domain="topics=5000.5003.0000">--JMP</category>
      <category domain="topics=3800.0000.0000">Genomics</category>
      <category domain="offering=1099">JMP software</category>
      <pubDate>Fri, 08 May 2009 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/apps/whitepaper/index.jsp?cid=8619&amp;utm_medium=RSS&amp;utm_source=Corp_Whitepaper</guid>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industryCanada=1900" />
          <rdf:value>Life Sciences</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topicsCanada=5000.5003.0000" />
          <rdf:value>--JMP</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="industry=1900" />
          <rdf:value>Life Sciences</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=5000.5003.0000" />
          <rdf:value>--JMP</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="topics=3800.0000.0000" />
          <rdf:value>Genomics</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:subject>
        <rdf:Description>
          <taxo:topic rdf:resource="offering=1099" />
          <rdf:value>JMP software</rdf:value>
        </rdf:Description>
      </dc:subject>
      <dc:date>2009-05-08T12:00:00Z</dc:date>
    </item>
  </channel>
</rss>

