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    <title>Media Coverage about SAS</title>
    <link>http://www.sas.com/news/mediacoverage/indexByDate.html</link>
    <description>Summary Feed of Recent Media Coverage about SAS</description>
    <item>
      <title>Data Analytics</title>
      <link>http://www.special-operations-technology.com/sotech-home/377-sotech-2012-volume-10-issue-1-february/5140-data-analytics.html</link>
      <description>SAS social media analytics, data management and predictive analytics can help special operations forces be more proactive and have better battlefield and threat awareness.</description>
      <category domain="industry=0300.2400.0000">--Defense</category>
      <category domain="topics=on" />
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=4000.0000.0000">Data Integration</category>
      <category domain="techtopics=0812.0000.0000">Data Management</category>
      <pubDate>Fri, 03 Feb 2012 13:00:00 GMT</pubDate>
      <guid>http://www.special-operations-technology.com/sotech-home/377-sotech-2012-volume-10-issue-1-february/5140-data-analytics.html</guid>
      <dc:date>2012-02-03T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Insurance marketers leverage targeted marketing</title>
      <link>http://www.dmnews.com/insurance-marketers-leverage-targeted-marketing/article/225127/</link>
      <description>Farmer's Insurance discusses how they have used SAS to analyze customer lifetime profitability by tracking demographic and psychographic data. Since applying this approach and incentivizing agents based on the findings, the company has witnessed a 14% increase in its internal rate of return.</description>
      <category domain="industry=0400.3450.0000">--Insurance - General</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <pubDate>Wed, 01 Feb 2012 13:00:00 GMT</pubDate>
      <guid>http://www.dmnews.com/insurance-marketers-leverage-targeted-marketing/article/225127/</guid>
      <dc:date>2012-02-01T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Tuning in to customers: Optimizing the online experience</title>
      <link>http://www.kmworld.com/Articles/Editorial/Feature/Tuning-in-to-customers-Optimizing-the-online-experience-80065.aspx</link>
      <description>Humana began to use SAS Text Miner to analyze the detailed notes kept by the call center associates, and achieved a much more granular understanding of why providers were calling. "We were able to take some specific steps in terms of prioritizing the information on the website," Hayworth says. "We could then address the more nuanced questions that our providers had not been able to answer previously with the self-service tools."

After the adjustments in the website, provider calls declined by 10 percent. "Without the data to explain what was going on," Hayworth explains, "we would not have been able to build the business case to support the additional features we included in the website." Adding new functionality improved the self-service for the website, allowing the customer service representatives to focus on the more complex questions.

Humana carried out a similar text analysis on free responses in a regular survey it conducts of its healthcare providers. "Previously, we did not have a good tool for interpreting this information," Hayworth says. "Reading each one was an inefficient approach and we were not benefiting from the information we collected." Humana has queued up several other projects, such as one comparing authorizations from nurses who review medical claims to the medical services that were provided, and an analysis of contracts to compare contract provisions with claims.

SAS offers several different text analytic products including one for text mining and one for sentiment analysis. "Our analytical method includes statistical machine learning plus a rules approach," says Fiona McNeill, global product marketing manager for SAS Text Analytics. "The outcome is a model that can be applied to incoming material and presented as analytical results in reports or other delivery formats to improve organizational performance." Subject matter experts can also refine the model through a point-and-click interface, adding or modifying categories.

The wide range of unstructured information in social media has motivated many companies to set up monitoring systems to keep track of statements by customers, partners and competitors. "In monitoring social media, it is important to keep in mind the fact that channels are used in different ways," McNeill says. "Online forums are a popular place for venting, but that does not necessarily translate into behavior change. Facebook, on the other hand, is more about evaluating people, products or places, and Twitter is popular for event-specific comments." The important thing is to evaluate and interpret social messages with an understanding of their context.</description>
      <category domain="industry=0350.3000.0000">--Health Insurance</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1010.0000">--Text Analytics</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <category domain="techtopics=1000.1010.0001">-- --Text Mining</category>
      <pubDate>Wed, 01 Feb 2012 13:00:00 GMT</pubDate>
      <guid>http://www.kmworld.com/Articles/Editorial/Feature/Tuning-in-to-customers-Optimizing-the-online-experience-80065.aspx</guid>
      <dc:date>2012-02-01T13:00:00Z</dc:date>
    </item>
    <item>
      <title>With Big Data Comes Big Responsibility (To Your Customers)</title>
      <link>http://www.banktech.com/business-intelligence/232600252</link>
      <description>Cover story quoting SAS customer BBVA Compass Bank and SAS' David Wallace on use of analytics for big data (pages 12 - 14)</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Mon, 30 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.banktech.com/business-intelligence/232600252</guid>
      <dc:date>2012-01-30T13:00:00Z</dc:date>
    </item>
    <item>
      <title>How To Ride the Big Data Wave</title>
      <link>http://twimgs.com/financetech/download/BST_Digital_Issue_2012_02.pdf</link>
      <description>Contributed article as a Q&amp;A with Keith Collins on big data and high-performance computing. (pages 8 - 9)</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="techtopics=6000.0000.0000">High-Performance Computing</category>
      <pubDate>Mon, 30 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://twimgs.com/financetech/download/BST_Digital_Issue_2012_02.pdf</guid>
      <dc:date>2012-01-30T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Mining for Gems: Analytic Insights from Big Data</title>
      <link>http://twimgs.com/financetech/download/BST_Digital_Issue_2012_02.pdf</link>
      <description>Contributed article by SAS' David Wallace on big data and high-performance computing. (pages 20 - 21)</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="topics=2200.0000.0000">Risk Management</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=6000.0000.0000">High-Performance Computing</category>
      <pubDate>Mon, 30 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://twimgs.com/financetech/download/BST_Digital_Issue_2012_02.pdf</guid>
      <dc:date>2012-01-30T13:00:00Z</dc:date>
    </item>
    <item>
      <title>4 Keys to Building an Analytical Workforce</title>
      <link>http://www.banktech.com/management-strategies/232600235</link>
      <description>Bank Systems &amp; Technology article on hiring of IT for data needs within financial services, quotes Russ Cobb and Pamela Prentice where it mentions Accenture SAS Analytics Group research (pages 16 &amp;ndash; 19).</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="topics=0200.0000.0000">Partners</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Mon, 30 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.banktech.com/management-strategies/232600235</guid>
      <dc:date>2012-01-30T13:00:00Z</dc:date>
    </item>
    <item>
      <title>BBVA Pursues Profits Among The Unbanked Using Nontraditional Data</title>
      <link>http://www.forbes.com/sites/tomgroenfeldt/2012/01/27/bbva-pursues-profits-among-the-unbanked-using-nontraditional-data/</link>
      <description>Forbes blog post focusing on BBVA Compass Bank's use of big data and serving the unbanked with SAS analytics.</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Fri, 27 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.forbes.com/sites/tomgroenfeldt/2012/01/27/bbva-pursues-profits-among-the-unbanked-using-nontraditional-data/</guid>
      <dc:date>2012-01-27T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Slot Manager Technology and Operations</title>
      <link>http://digital.bnpmedia.com/display_article.php?id=928024</link>
      <description>Dr. Ralph Thomas, vice president strategic analytics and database marketing for Seminole Casinos in Florida, used SAS Analytics to help him model his customers’ behavior.
 
“The easiest and most reliable in terms of making you money are response models, and just saying look, when we have a mailer, these are the people we can leave out, save the postage and we’re not losing any money. That’s by far the quickest one,” Thomas said. “On the other side now we’re moving on forecasting customer behavior, besides just response."</description>
      <category domain="industry=0700.5550.0000">--Casinos</category>
      <category domain="topics=3400.0000.0000">Patron Value Optimization</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Thu, 26 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://digital.bnpmedia.com/display_article.php?id=928024</guid>
      <dc:date>2012-01-26T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Texas Universities Chart Public Course Toward Advancing Excellence</title>
      <link>http://www.convergemag.com/policy/Texas-Universities-Advancing-Excellence.html</link>
      <description>The University of Texas System is giving the public unprecedented access to performance metrics via a public dashboard, supported by SAS analytics and business intelligence technologies.</description>
      <category domain="industry=0200.1900.0000">--Higher Education</category>
      <category domain="topics=1800.0000.0000">Performance Management</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=3000.0000.0000">Business Intelligence</category>
      <pubDate>Wed, 25 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.convergemag.com/policy/Texas-Universities-Advancing-Excellence.html</guid>
      <dc:date>2012-01-25T13:00:00Z</dc:date>
    </item>
    <item>
      <title>The 10 Best (and Most Unusual) Employee Perks</title>
      <link>http://business.time.com/2012/01/25/the-10-best-and-most-unusual-employee-perks/slide/sas-institute/#all</link>
      <description>Time.com reports on Fortune's 100 Best companies to Work For</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Tue, 24 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://business.time.com/2012/01/25/the-10-best-and-most-unusual-employee-perks/slide/sas-institute/#all</guid>
      <dc:date>2012-01-24T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS CEO Goodnight on revenue, talent, collaboration and the year ahead</title>
      <link>http://searchbusinessanalytics.techtarget.com/news/2240114301/SAS-CEO-Goodnight-on-profit-talent-collaboration-and-the-year-ahead</link>
      <description>TechTarget's SearchBusinessAnalytics.com interviews SAS CEO Jim Goodnight &amp; SVP/CMO Jim Davis</description>
      <category domain="industry=0400.3450.0000">--Insurance - General</category>
      <category domain="industry=0300.2950.0000">--Government - General</category>
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=1100.0000.0000">Fraud Prevention and Detection</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=6000.0000.0000">High-Performance Computing</category>
      <pubDate>Tue, 24 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://searchbusinessanalytics.techtarget.com/news/2240114301/SAS-CEO-Goodnight-on-profit-talent-collaboration-and-the-year-ahead</guid>
      <dc:date>2012-01-24T13:00:00Z</dc:date>
    </item>
    <item>
      <title>When the Analytics Shoe Fits...</title>
      <link>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=238047&amp;amp;amp;</link>
      <description>DSW is analyzing historical sales data to predict future sales and optimize the sizes it carries at each store location. With appropriate sizes in stock, shoppers will have better selections, a greater opportunity to buy, and, therefore, increased loyalty to DSW. Its analytics tool of choice is Size Optimization from SAS.</description>
      <category domain="industry=0650.5150.0000">--Retail - General</category>
      <category domain="industry=0650.4701.0000">--Apparel/Fashion</category>
      <category domain="topics=1700.0179.0000">--Size Optimization</category>
      <category domain="topics=1700.0000.0000">Merchandise Intelligence</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Tue, 24 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=238047&amp;amp;amp;</guid>
      <dc:date>2012-01-24T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Fortune’s "Best Companies" set the benefits bar high</title>
      <link>http://ebn.benefitnews.com/news/fortune-best-companies-health-care-salaries-rewards-2721395-1.html</link>
      <description>Leading the list in this category is SAS Institute which supports employees with subsidized child care, unlimited sick time, intramural sports leagues and a free health care center, among other benefits.</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <pubDate>Tue, 24 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://ebn.benefitnews.com/news/fortune-best-companies-health-care-salaries-rewards-2721395-1.html</guid>
      <dc:date>2012-01-24T13:00:00Z</dc:date>
    </item>
    <item>
      <title>The Age of Data</title>
      <link>http://www.information-management.com/news/predictive-analytics-mobile-insurance-CES-10021819-1.html</link>
      <description>Information Management article quoting Jim Davis on analytics and insurance industry trends. (Initially published on Insurance Networking News.)</description>
      <category domain="industry=0400.3450.0000">--Insurance - General</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Tue, 24 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.information-management.com/news/predictive-analytics-mobile-insurance-CES-10021819-1.html</guid>
      <dc:date>2012-01-24T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Data Mining Helps Oberweis Dairy Boost Retention</title>
      <link>http://chiefmarketer.com/database/mining/data-mining-oberweis-dairy-retention-0123rhl2/index.html</link>
      <description>SAS customer Oberweis Dairy discusses its use of SAS to help segment campaigns to improve customer retention.</description>
      <category domain="industry=0650.5150.0000">--Retail - General</category>
      <category domain="marketsegment=10">Small/Medium Business</category>
      <category domain="topics=0800.0803.0000">--Customer Retention</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <pubDate>Mon, 23 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://chiefmarketer.com/database/mining/data-mining-oberweis-dairy-retention-0123rhl2/index.html</guid>
      <dc:date>2012-01-23T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Why Sentiment Analysis Needs Text Analytics</title>
      <link>http://www.allanalytics.com/author.asp?section_id=1408&amp;amp;amp;doc_id=237942</link>
      <description>Thought leader from KAPS Group, Tom Reamy wrote: I have a colleague who developed sentiment profiles just using the SAS Enterprise Content Categorization workbench. The difference was in the kinds of words she incorporated into the various rules -- adjectives and adverbs instead of nouns, sentiment instead of topics. There are other differences, but they are mostly at the level of rule variation. 

Sentiment needs text analytics. If you want to go beyond simple brand management using only explicit mentions of a company’s name, you will need to deal with issues like disambiguation and a deeper dive into products and services often requiring different rules. For example, sentiments about particular features of a product, say a camera, will tend to have different words associated with them than the words associated with sentiments for the hardware. Another issue is broadening the context to deal with sentences that might follow an explicit mention of a product with indirect references (e.g., “That really stunk”). All these issues call for the kind of advanced analytical rules in text analysis. 

Text analytics can add another dimension to sentiment -- not only detecting explicit sentiment expressions about particular products or services, for example, but also uncovering specific issues and/or problems about them. So instead of simply discovering a particularly high negative sentiment about a new camera or a new feature of that camera, also uncovering that the negative sentiment is specifically due to an issue with shutter speed or dropped calls, for example.</description>
      <category domain="industry=on" />
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1010.0000">--Text Analytics</category>
      <pubDate>Mon, 23 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.allanalytics.com/author.asp?section_id=1408&amp;amp;amp;doc_id=237942</guid>
      <dc:date>2012-01-23T13:00:00Z</dc:date>
    </item>
    <item>
      <title>IT Buyers No Longer Looking at Tech in Isolation</title>
      <link>http://channelnomics.com/2012/01/23/buyers-tech-isolation/</link>
      <description>SAS has found niches in its focus on fraud prevention .</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=8093.0000.0000">Business Analytics</category>
      <category domain="techtopics=3000.0000.0000">Business Intelligence</category>
      <pubDate>Mon, 23 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://channelnomics.com/2012/01/23/buyers-tech-isolation/</guid>
      <dc:date>2012-01-23T13:00:00Z</dc:date>
    </item>
    <item>
      <title>The Age of Data</title>
      <link>http://www.insurancenetworking.com/blogs/analytics-big-data-sas-kenealy-29775-1.html</link>
      <description>Insurance Networking News blog discussing analytics trends with Jim Davis.</description>
      <category domain="industry=0400.3450.0000">--Insurance - General</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Mon, 23 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.insurancenetworking.com/blogs/analytics-big-data-sas-kenealy-29775-1.html</guid>
      <dc:date>2012-01-23T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Big Data and Data Scientists -- It's An Issue Of Degree(s)</title>
      <link>http://www.forbes.com/sites/tomgroenfeldt/2012/01/21/big-data-and-data-scientists-its-an-issue-of-degrees/</link>
      <description>SAS mention in blog post on big data and data scientist needs.</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="topics=0717.0000.0000">Teaching and Learning</category>
      <pubDate>Sat, 21 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.forbes.com/sites/tomgroenfeldt/2012/01/21/big-data-and-data-scientists-its-an-issue-of-degrees/</guid>
      <dc:date>2012-01-21T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS revenues grow by 12% for FY2011</title>
      <link>http://bi.cbronline.com/news/sas-revenues-grow-by-12-for-fy2011-200112</link>
      <description>Story on SAS financials from US writer of UK-based CBR</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=1100.0000.0000">Fraud Prevention and Detection</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=6000.0000.0000">High-Performance Computing</category>
      <category domain="techtopics=6000.6002.0000">--In-Memory Analytics</category>
      <pubDate>Fri, 20 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://bi.cbronline.com/news/sas-revenues-grow-by-12-for-fy2011-200112</guid>
      <dc:date>2012-01-20T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Google named Best Place to Work in U.S. by Fortune</title>
      <link>http://www.computerworld.com/s/article/9223554/Google_named_Best_Place_to_Work_in_U.S._by_Fortune</link>
      <description>Subhead: Other high-tech companies -- Zappos, Salesforce.com, SAS and Intel -- also rank</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="techtopics=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.computerworld.com/s/article/9223554/Google_named_Best_Place_to_Work_in_U.S._by_Fortune</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Hot Year In Business Analytics: SAS Reports 12 Percent Sales Growth In 2011</title>
      <link>http://www.crn.com/news/applications-os/232500234/hot-year-in-business-analytics-sas-reports-12-percent-sales-growth-in-2011.htm;jsessionid=KmZ+CiofbvEV8OHsC1rcDw**.ecappj03</link>
      <description>SAS said growth was strong all across its product lines and industry categories.</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.crn.com/news/applications-os/232500234/hot-year-in-business-analytics-sas-reports-12-percent-sales-growth-in-2011.htm;jsessionid=KmZ+CiofbvEV8OHsC1rcDw**.ecappj03</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS, NetApp, Novo Nordisk and Cisco named among best companies to work for</title>
      <link>http://www.bizjournals.com/triangle/blog/2012/01/sas-netapp-novo-nordisk-and-cisco.html</link>
      <description>SAS named among best companies to work for</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.bizjournals.com/triangle/blog/2012/01/sas-netapp-novo-nordisk-and-cisco.html</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Best Companies: Work-life balance</title>
      <link>http://money.cnn.com/magazines/fortune/best-companies/2012/benefits/work_life.html</link>
      <description>SAS ranked #1 company in terms of work-life balance</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://money.cnn.com/magazines/fortune/best-companies/2012/benefits/work_life.html</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Best Benefits: Child Care</title>
      <link>http://money.cnn.com/magazines/fortune/best-companies/2012/benefits/child_care.html</link>
      <description>SAS named #2 for Best Child Care among Fortune's 100 Best Companies to Work For</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://money.cnn.com/magazines/fortune/best-companies/2012/benefits/child_care.html</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Top Companies: All-Stars</title>
      <link>http://money.cnn.com/magazines/fortune/best-companies/2012/allstars/index.html</link>
      <description>These employers have been on the Best Companies to Work For list every year since it launched in 1998.</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://money.cnn.com/magazines/fortune/best-companies/2012/allstars/index.html</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Social Media Stars of Fortune's 100 Best Companies to Work For</title>
      <link>http://money.cnn.com/galleries/2012/technology/1201/gallery.best-companies-social-media.fortune/3.html</link>
      <description>SAS included in web gallery of "Social Media Stars"</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://money.cnn.com/galleries/2012/technology/1201/gallery.best-companies-social-media.fortune/3.html</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS #3 on 100 Best Companies to Work For</title>
      <link>http://money.cnn.com/magazines/fortune/best-companies/2012/snapshots/3.html</link>
      <description>SAS named #3 on Fortune's 100 Best Companies to Work For</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://money.cnn.com/magazines/fortune/best-companies/2012/snapshots/3.html</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>'I work for one of the 10 Best Companies'</title>
      <link>http://money.cnn.com/galleries/2012/pf/jobs/1201/gallery.best-companies-employees.fortune/3.html</link>
      <description>Global Pricing Director Stacey Schaeffer featured as "I work for one of the 10 Best Companies"</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://money.cnn.com/galleries/2012/pf/jobs/1201/gallery.best-companies-employees.fortune/3.html</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Data Analytics Company Finds Fraud Is a Friend</title>
      <link>http://bits.blogs.nytimes.com/2012/01/19/data-analytics-company-finds-fraud-is-a-friend/</link>
      <description>Post by NY Times Deputy Tech Editor Quenting Hardy recapping his interview with SAS CEO Jim Goodnight on SAS' financial results, hot areas etc.</description>
      <category domain="industry=0300.2550.0000">--Health and Social Services</category>
      <category domain="industry=0150.1575.0000">--Communications - General</category>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="industry=0650.5150.0000">--Retail - General</category>
      <category domain="industry=0300.2820.0000">--State and Local Government</category>
      <category domain="industry=0300.2950.0000">--Government - General</category>
      <category domain="topics=2200.0000.0000">Risk Management</category>
      <category domain="topics=1700.0000.0000">Merchandise Intelligence</category>
      <category domain="topics=1100.0578.0000">--Fraud and Improper Payments</category>
      <category domain="topics=1100.0000.0000">Fraud Prevention and Detection</category>
      <category domain="topics=1100.0580.0000">--Claims Fraud</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="topics=1100.0412.0000">--Suspect Claims Detection</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://bits.blogs.nytimes.com/2012/01/19/data-analytics-company-finds-fraud-is-a-friend/</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS revenue jumped 12 percent in 2011</title>
      <link>http://blogs.newsobserver.com/business/sas-revenue-jumped-12-percent-in-2011</link>
      <description>SAS announces 2011 revenue</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://blogs.newsobserver.com/business/sas-revenue-jumped-12-percent-in-2011</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>When Good Things Happen to Good People</title>
      <link>http://denispombriant.wordpress.com/2012/01/19/when-good-things-happen-to-good-people/</link>
      <description>SAS receives congrats from CI thought leader Denis Pombriant.</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://denispombriant.wordpress.com/2012/01/19/when-good-things-happen-to-good-people/</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS revenues soar 12% to record $2.725 billion in 2011</title>
      <link>http://wraltechwire.com/business/tech_wire/news/blogpost/10618559/</link>
      <description>SAS reveals 2011 revenues of $2.725 billion</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://wraltechwire.com/business/tech_wire/news/blogpost/10618559/</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Google topples SAS from No. 1 on 'Best Companies To Work For' list</title>
      <link>http://wraltechwire.com/business/tech_wire/news/story/10618295/</link>
      <description>SAS ranks No. 3 on 'Best Companies to Work For' list</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://wraltechwire.com/business/tech_wire/news/story/10618295/</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS ranks third among top employers</title>
      <link>http://blogs.newsobserver.com/business/sas-ranks-third-among-top-employers#storylink=misearch</link>
      <description>SAS reveals 2011 revenue and 2012 rank on FORTUNE Best Companies list</description>
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="country=on" />
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://blogs.newsobserver.com/business/sas-ranks-third-among-top-employers#storylink=misearch</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Revenue Management Meets Social Media: Taking advantage of social data and channels</title>
      <link>http://hotelexecutive.com/business_review/2814/revenue-management-meets-social-media-taking-advantage-of-social-data-and-channels</link>
      <description>Kelly McGuire of SAS wrote, "Many companies have tactical social media programs managed by the marketing department, but the industry as a whole has yet to fully exploit the potential of this emerging data and communication resource. The revenue management department, as it takes a more strategic role within the organization, is poised to be an early adopter of the opportunities provide by social media. In this article, I will discuss a framework for evaluating social media-related, revenue management opportunities which can be used in revenue management and across the organization understand the role of social media in supporting better business decisions."</description>
      <category domain="industry=0700.5500.0000">--Hotels</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <pubDate>Thu, 19 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://hotelexecutive.com/business_review/2814/revenue-management-meets-social-media-taking-advantage-of-social-data-and-channels</guid>
      <dc:date>2012-01-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Changing Sales Forecast in the Same Month and Why</title>
      <link>http://www.demand-planning.com/2012/01/18/ibf-discussion-group-on-linkedin-changing-sales-forecast-in-the-same-month-and-why/</link>
      <description>Mike Gilliland of SAS wrote, "Should you ever freeze your forecast?
 
It is definitely appropriate to freeze a forecast at some point for measuring forecasting performance. (Otherwise, we could wait until the actuals came in and always hit 100% accuracy.)  The usual practice is to freeze the forecast at supply lead time – that is, the point after which you can no longer impact supply in the period being forecast."</description>
      <category domain="industry=on" />
      <category domain="topics=2600.0000.0000">Supply Chain Intelligence</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <pubDate>Wed, 18 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.demand-planning.com/2012/01/18/ibf-discussion-group-on-linkedin-changing-sales-forecast-in-the-same-month-and-why/</guid>
      <dc:date>2012-01-18T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Big Data Needs Data Scientists, Or Quants, Or Excel Jockeys</title>
      <link>http://www.forbes.com/sites/tomgroenfeldt/2012/01/17/big-data-needs-data-scientists-or-quants-or-excel-jockeys/</link>
      <description>Forbes blog post with Keith Collins quoted on huge gap in analytical talent.</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="topics=8093.0000.0000">Business Analytics</category>
      <pubDate>Tue, 17 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.forbes.com/sites/tomgroenfeldt/2012/01/17/big-data-needs-data-scientists-or-quants-or-excel-jockeys/</guid>
      <dc:date>2012-01-17T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Seminole Gaming Uses Predictive Modeling to Hit the Jackpot</title>
      <link>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=237779&amp;amp;amp;</link>
      <description>Ralph Thomas, vice president of strategic analytics and database marketing, says that over the next year, the model is expected to provide enough incremental value to enable Seminole Gaming to pay for its investment in business analytics software two or three times over. And the second model looks like it will be worth twice as much as the first.
For its first model, Thomas and his team targeted the marketing campaign that generated the highest printing and postage expenses. The modeling made it clear which people could receive fewer communications and still deliver the desired results. Seminole Gaming cut the expenses associated with this campaign in half while increase revenue, Thomas says. 
With its second model, it is looking to find high-value customers in low-value segments. The team is testing this model and hopes to roll it out shortly. 
The team has built these models using Rapid Predictive Modeler from SAS. The modeling tool requires no coding expertise whatsoever, yet it delivers high-value modeling, Thomas says.</description>
      <category domain="industry=0700.5550.0000">--Casinos</category>
      <category domain="topics=3400.0000.0000">Patron Value Optimization</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Tue, 17 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=237779&amp;amp;amp;</guid>
      <dc:date>2012-01-17T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Views from the Executive Suite: Prime Time for Business Analytics in Government</title>
      <link>http://govwin.com/marchausman_blog/views-from-executive-suite-prime/370954</link>
      <description>Karen Knowles, head of SAS Federal, discusses the rise of analytics in the federal government in areas such as workforce planning, social media and the fight against fraud, waste and abuse.</description>
      <category domain="industry=0300.2810.0000">--Federal Government</category>
      <category domain="topics=0800.0814.0000">--Social Media Analytics</category>
      <category domain="topics=1100.0000.0000">Fraud Prevention and Detection</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Tue, 17 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://govwin.com/marchausman_blog/views-from-executive-suite-prime/370954</guid>
      <dc:date>2012-01-17T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Natural Synergies</title>
      <link>http://lodgingmagazine.com/PastIssues/PastIssues/Natural-Synergies-2391.aspx</link>
      <description>Kelly McGuire of SAS wrote, "As complexity increases, the role of the revenue manager has evolved. No longer is this job about managing access to inventory. Now the revenue manager must set pricing strategies, manage distribution channels, perform competitive analysis, manage revenue from various sources across the hotel, and become more customer-centric in pricing strategies. To be successful, revenue managers must incorporate new data and analytics from other departments across the hotel."</description>
      <category domain="industry=0700.5500.0000">--Hotels</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Mon, 16 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://lodgingmagazine.com/PastIssues/PastIssues/Natural-Synergies-2391.aspx</guid>
      <dc:date>2012-01-16T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Optimizing revenues via apt integration of revenue management and marketing</title>
      <link>http://www.eyefortravel.com/revenue-and-data-management/optimising-revenues-apt-integration-revenue-management-and-marketing</link>
      <description>SAS' Kelly McGuire described how the hotel industry has been slow to adopt new analytical processes and disciplines. Given tight margins and high risk, the industry has waited for “new” capabilities, so it is not surprising that they have yet to fully leverage opportunities within the CRM space.</description>
      <category domain="industry=0700.5500.0000">--Hotels</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Thu, 12 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.eyefortravel.com/revenue-and-data-management/optimising-revenues-apt-integration-revenue-management-and-marketing</guid>
      <dc:date>2012-01-12T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS Institute Adapts to the Big Data Era</title>
      <link>http://servicesangle.com/blog/2012/01/11/sas-institute-adapts-to-the-big-data-era/</link>
      <description>SAS Institute Adapts to the Big Data Era</description>
      <category domain="industry=on" />
      <category domain="topics=on" />
      <category domain="techtopics=0812.0000.0000">Data Management</category>
      <category domain="country=on" />
      <pubDate>Wed, 11 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://servicesangle.com/blog/2012/01/11/sas-institute-adapts-to-the-big-data-era/</guid>
      <dc:date>2012-01-11T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Three BI Trends Every CIO Must Understand</title>
      <link>http://www.informationweek.com/news/global-cio/interviews/232400101</link>
      <description>SAS customer, Anthony Perez, is having a great NBA season. While you won't find his stats on the sports page, his activities with the Orlando Magic should be influencing your business intelligence strategy. The Magic's use of BI tools represents one of the three big trends in this technology sector.
 
What are those trends? One is that BI is moving from a backroom IT function to an integral part of strategic business planning. Two is that companies are applying BI to more external sources--to social network conversations, for instance, to gauge customer sentiment, or to industry spending data. Three is the use of RBD (really big data) to drive corporate strategy.</description>
      <category domain="industry=0700.5900.0000">--Sports</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=3000.0000.0000">Business Intelligence</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Wed, 11 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.informationweek.com/news/global-cio/interviews/232400101</guid>
      <dc:date>2012-01-11T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Telematics Status Check: Opportunities Abound for Early Adopters</title>
      <link>http://www.insurancetech.com/business-intelligence/232400107?cid=nl_ins_daily&amp;amp;amp;elq=051b200a06be424bbffd00a2cf1e7f63</link>
      <description>Guest blog contributed by SAS' Stuart Rose on the topic of telematics.</description>
      <category domain="industry=0400.3450.0000">--Insurance - General</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Tue, 10 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.insurancetech.com/business-intelligence/232400107?cid=nl_ins_daily&amp;amp;amp;elq=051b200a06be424bbffd00a2cf1e7f63</guid>
      <dc:date>2012-01-10T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Hoop Tales: A Magic Plan To Create Your Next Customer</title>
      <link>http://createyournextcustomer.techweb.com/2012/01/09/hoop-tales-a-magic-plan-to-create-your-next-customer/</link>
      <description>Anthony Perez (a big user of SAS Institute) is trying to implement his technology business strategy into a compressed timeframe.
 
“The social media piece is very important to us,” said Perez. The Magic uses social media mainly as a communication tool where they are careful to draw the line between useful content and spam. Season ticket holders are the core customer base for any sports team and Perez leveraged communication and benefits based on a customer loyalty card program to first, when it looked like the season might be scrubbed, use the card to hold the season ticket value with interest rather than face season ticket returns  and second – once the season was on – to make it easier for customers to resell seats and get loyalty discounts at concession stands."</description>
      <category domain="industry=0700.5900.0000">--Sports</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=3000.0000.0000">Business Intelligence</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <category domain="techtopics=3000.3003_1.4007_2">-- --Portal</category>
      <pubDate>Mon, 09 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://createyournextcustomer.techweb.com/2012/01/09/hoop-tales-a-magic-plan-to-create-your-next-customer/</guid>
      <dc:date>2012-01-09T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Orlando Magic Gets the Analytics Slam Dunk</title>
      <link>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=237493</link>
      <description>at home games, among other business purposes. In the process, the team has transitioned from crunching numbers primarily in Excel to working with sports-oriented analytics software from SAS.</description>
      <category domain="industry=0700.5900.0000">--Sports</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Mon, 09 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=237493</guid>
      <dc:date>2012-01-09T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS's Year Of Living Socially</title>
      <link>http://www.google.com/url?sa=X&amp;amp;amp;q=http://www.informationweek.com/news/thebrainyard/social_networking_private_platforms/232301398&amp;amp;amp;ct=ga&amp;amp;amp;cad=CAEQAhgAIAAoATAAOABA3OCc-ARIAVAAWABiBWVuLVVT&amp;amp;amp;cd=0WNDZHqp4m4&amp;amp;amp;usg=AFQjCNHpwyYSnev9DxKcpB8MJOWvVRPMgg</link>
      <description>A year after launch, SAS employees find their internal Facebook "the Hub" a valuable resource for connecting with peers and sharing knowledge across departments and around the world.

Rick Wilkin of SAS considers himself too busy for Facebook, but he loves the Hub.

SAS internal communication manager Becky Graebe said the Hub is delivering on the goal of providing new ways for employees to connect and collaborate. "People ask me, 'Do you think this is cutting down on email?' Well, I'm not measuring that right now. Our intent was to get people communicating more, not less. We're a knowledge-based organization, so this is focused on knowledge sharing. We're trying to get knowledge out of the minds of our employees, out onto the table where it can be talked about."</description>
      <category domain="industry=on" />
      <category domain="topics=on" />
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Fri, 06 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.google.com/url?sa=X&amp;amp;amp;q=http://www.informationweek.com/news/thebrainyard/social_networking_private_platforms/232301398&amp;amp;amp;ct=ga&amp;amp;amp;cad=CAEQAhgAIAAoATAAOABA3OCc-ARIAVAAWABiBWVuLVVT&amp;amp;amp;cd=0WNDZHqp4m4&amp;amp;amp;usg=AFQjCNHpwyYSnev9DxKcpB8MJOWvVRPMgg</guid>
      <dc:date>2012-01-06T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Jim Davis: Thought Leader Interview</title>
      <link>http://www.beagleresearch.com/more-interviews/119-jimdavis.html</link>
      <description>Denis Pombriant, from Beagle Research, interviews Jim Davis, SAS CMO, about the signficance of analytics to big and small businesses alike and the myriad uses for analytics across an organization.</description>
      <category domain="industry=on" />
      <category domain="marketsegment=10">Small/Medium Business</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Thu, 05 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.beagleresearch.com/more-interviews/119-jimdavis.html</guid>
      <dc:date>2012-01-05T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Unpredictability and Uncertainty versus Stability</title>
      <link>http://www.information-management.com/infodirect/2011_224/business-analytics-IT-risk-change-management-10021718-1.html</link>
      <description>Unpredictability and Uncertainty versus Stability</description>
      <category domain="topics=1800.0000.0000">Performance Management</category>
      <category domain="topics=8093.0000.0000">Business Analytics</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Thu, 05 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.information-management.com/infodirect/2011_224/business-analytics-IT-risk-change-management-10021718-1.html</guid>
      <dc:date>2012-01-05T13:00:00Z</dc:date>
    </item>
    <item>
      <title>NRF 2012: Top 6 Big Idea Sessions, including one on Winn-Dixie</title>
      <link>http://risnews.edgl.com/retail-news/nrf-2012--top-6-big-idea-sessions77743</link>
      <description>SAS Customer Winn-Dixie is moving from rules-based pricing to optimized pricing.</description>
      <pubDate>Thu, 05 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://risnews.edgl.com/retail-news/nrf-2012--top-6-big-idea-sessions77743</guid>
      <dc:date>2012-01-05T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Will Amazon Offer Analytics as a Service?</title>
      <link>http://bits.blogs.nytimes.com/2012/01/04/will-amazon-offer-analytics-as-a-service/</link>
      <description>Amazon could move beyond its cloud services businesses — which rents data storage and raw computing power — and add to these offerings analysis software that can be rented, and possibly modified, to suit a company’s needs. SAS is described as a predictive analytics software vendor. Kyle McNabb, a vice president at research firm Forrester, gives his views.</description>
      <category domain="industry=0700.5850.0000">--Services - General</category>
      <category domain="industry=0650.4901.0000">--E-Commerce</category>
      <category domain="topics=1100.0000.0000">Fraud Prevention and Detection</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Wed, 04 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://bits.blogs.nytimes.com/2012/01/04/will-amazon-offer-analytics-as-a-service/</guid>
      <dc:date>2012-01-04T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Customer Experience Management Set for Center Stage</title>
      <link>http://www.lightreading.com/document.asp?doc_id=216010&amp;amp;amp;f_src=lightreading_gnews</link>
      <description>CSPs recognize that CEM is becoming key to building brand loyalty, influencing customer sentiment, reducing churn, cross- and up-selling services to boost ARPU and cutting customer/device/service management costs. The ability to capture and understand the events that can affect the customer experience in time to be able to influence and optimize that experience is a major source of differentiation for telcos

2012 looks set to be a year when a number of major Service Provider Information Technology (SPIT) players ramp up their CEM strategies. The article names SAS analytics as suitable for the telecom services sector.</description>
      <category domain="industry=0150.1575.0000">--Communications - General</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <pubDate>Wed, 04 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.lightreading.com/document.asp?doc_id=216010&amp;amp;amp;f_src=lightreading_gnews</guid>
      <dc:date>2012-01-04T13:00:00Z</dc:date>
    </item>
    <item>
      <title>The rise of Hadoop: Is ETL dead?</title>
      <link>http://blogs.computerworlduk.com/idc-insight/2012/01/the-rise-of-hadoop-is-etl-dead/index.htm</link>
      <description>The rise of Hadoop: Is ETL dead?</description>
      <category domain="industry=on" />
      <category domain="topics=on" />
      <category domain="techtopics=0812.0000.0000">Data Management</category>
      <category domain="country=on" />
      <pubDate>Tue, 03 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://blogs.computerworlduk.com/idc-insight/2012/01/the-rise-of-hadoop-is-etl-dead/index.htm</guid>
      <dc:date>2012-01-03T13:00:00Z</dc:date>
    </item>
    <item>
      <title>How I Estimate (Social/Sentiment/Text Analytics) Market Size</title>
      <link>http://smartdatacollective.com/sethgrimes/44384/how-i-estimate-socialsentimenttext-analytics-market-size</link>
      <description>Seth Grimes named SAS as a large company that’s in multiple software markets.

Text analytics applies natural-language processing (NLP) to extract information from text, bringing text-sourced business intelligence to a broad array of applications. Sentiment analysis is a particular NLP application, although it can also be tackled via human analysis (a.k.a. “reading” and “listening”) including via crowd-sourcing. Sentiment analysis is about finding and exploiting subjective information in content: Attitudes, opinions, emotions, and intent. Social analytics, my number 3 area, applies text and sentiment analysis to content and network analysis to understand interconnectedness and message flow. These three related analytics species are often most interesting when they’re linked to analysis of enterprise transactional, operational, and profile data, leavened with geospatial and behavioral analyses.

Seth wrote that his market-size estimates are accurate enough to release to clients or in an article. The aim is to provide useful business guidance, to support confident decision making in fast-moving, dynamic technologies markets.</description>
      <category domain="industry=on" />
      <category domain="topics=on" />
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1010.0000">--Text Analytics</category>
      <category domain="techtopics=1000.1010.0001">-- --Text Mining</category>
      <pubDate>Tue, 03 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://smartdatacollective.com/sethgrimes/44384/how-i-estimate-socialsentimenttext-analytics-market-size</guid>
      <dc:date>2012-01-03T13:00:00Z</dc:date>
    </item>
    <item>
      <title>2012 Gaming Industry Forecast</title>
      <link>http://www.casinoenterprisemanagement.com/articles/january-2012/2012-gaming-industry-forecast-part-2</link>
      <description>In this article, Rory Fagan of SAS explains why investment in analytics technology expected to accelerate in the coming months. Whether redesigning service offerings, improving retention, launching loyalty programs or pricing to maximize revenue and profit, using analytics for in-depth knowledge of patron behavior, market conditions and competitor influence is critical to decision makers.</description>
      <category domain="industry=0700.5550.0000">--Casinos</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Tue, 03 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.casinoenterprisemanagement.com/articles/january-2012/2012-gaming-industry-forecast-part-2</guid>
      <dc:date>2012-01-03T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Analytics in basketball: Orlando Magic says why not?</title>
      <link>http://www.enterpriseinnovation.net/content/analytics-basketball-orlando-magic-says-why-not</link>
      <description>Beginning this year, Orlando Magic will use SAS software tools for automated reporting and analysis of game statistics to further improve its game.</description>
      <category domain="industry=0700.5900.0000">--Sports</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Tue, 03 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.enterpriseinnovation.net/content/analytics-basketball-orlando-magic-says-why-not</guid>
      <dc:date>2012-01-03T13:00:00Z</dc:date>
    </item>
    <item>
      <title>The Software 500: SAS #39</title>
      <link>http://online.qmags.com/SWM0911</link>
      <description>The Software 500: SAS #39</description>
      <category domain="industry=on" />
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=8093.0000.0000">Business Analytics</category>
      <category domain="topics=0600.0601.0000">--Corporate Awards</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Sun, 01 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://online.qmags.com/SWM0911</guid>
      <dc:date>2012-01-01T13:00:00Z</dc:date>
    </item>
    <item>
      <title>2012 New Year Resolutions for CEOs and Executives</title>
      <link>http://bigfatfinanceblog.com/2011/12/26/2012-new-year-resolutions-for-ceos-and-executives?cid=NLBFBFWU</link>
      <description>2012 New Year Resolutions for CEOs and Executives</description>
      <category domain="industry=on" />
      <category domain="topics=1800.0000.0000">Performance Management</category>
      <category domain="topics=8093.0000.0000">Business Analytics</category>
      <category domain="techtopics=on" />
      <category domain="country=on" />
      <pubDate>Sun, 01 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://bigfatfinanceblog.com/2011/12/26/2012-new-year-resolutions-for-ceos-and-executives?cid=NLBFBFWU</guid>
      <dc:date>2012-01-01T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Where the IT Dollars Will Go</title>
      <link>http://www.americanbanker.com/btn/25_1/where-it-dollars-go-1045234-1.html</link>
      <description>The article highlights SAS as a GRC software provider.</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="topics=0700.0000.0000">Governance, Risk, and Compliance</category>
      <pubDate>Sun, 01 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.americanbanker.com/btn/25_1/where-it-dollars-go-1045234-1.html</guid>
      <dc:date>2012-01-01T13:00:00Z</dc:date>
    </item>
    <item>
      <title>9 Trends Reshaping Risk Software</title>
      <link>http://www.americanbanker.com/btn/25_1/9-trends-reshaping-risk-software-1045226-1.html</link>
      <description>SAS is mentioned as a technology provider twice – under the first trend as an ERM provider and under the seventh for real-time/intraday monitoring.</description>
      <category domain="industry=0100.1150.0000">--Banking - General</category>
      <category domain="topics=2200.0000.0000">Risk Management</category>
      <pubDate>Sun, 01 Jan 2012 13:00:00 GMT</pubDate>
      <guid>http://www.americanbanker.com/btn/25_1/9-trends-reshaping-risk-software-1045226-1.html</guid>
      <dc:date>2012-01-01T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Contributing to a hotel’s bottom line in 2012 as a revenue management specialist</title>
      <link>http://www.google.com/url?sa=X&amp;amp;amp;q=http://www.eyefortravel.com/revenue-and-data-management/contributing-hotel%25E2%2580%2599s-bottom-line-2012-revenue-management-specialist&amp;amp;amp;ct=ga&amp;amp;amp;cad=CAcQAhgAIAAoATAAOABAiP3z9wRIAVgBYgVlbi1VUw&amp;amp;amp;cd=D0rd9O2xG54&amp;amp;amp;usg=AFQjCNETc7MTXBiAEzVfaOkWDtKfqqTeCg</link>
      <description>Revenue management has been in the midst of an evolution for a few years now, and the discipline is approaching a turning point, believes Kelly McGuire, Executive Director, Hospitality and Travel Global Practice, SAS.
 
RM professionals are continuously looking at ways to apply RM principles to other business functions. InterContinental Hotels Group mentioned that the focus is on leveraging the intelligence behind the RM systems, specifically demand forecasting, in coming up with need periods and need markets and integrate this intelligence with marketing plans. In addition, RM is trying to evolve strategies for channel optimisation by using the Revenue Optimisation framework. Incorporating cost of sale into a Revenue Optimisation setting to come up with optimal channel mix is still in its infancy - but they are underway. Price Optimisation - using price sensitivity and competitor rates to optimise on price combined with inventory management is being increasingly adopted within the hospitality industry.</description>
      <category domain="industry=0700.5500.0000">--Hotels</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Thu, 29 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.google.com/url?sa=X&amp;amp;amp;q=http://www.eyefortravel.com/revenue-and-data-management/contributing-hotel%25E2%2580%2599s-bottom-line-2012-revenue-management-specialist&amp;amp;amp;ct=ga&amp;amp;amp;cad=CAcQAhgAIAAoATAAOABAiP3z9wRIAVgBYgVlbi1VUw&amp;amp;amp;cd=D0rd9O2xG54&amp;amp;amp;usg=AFQjCNETc7MTXBiAEzVfaOkWDtKfqqTeCg</guid>
      <dc:date>2011-12-29T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Smarter Mobile Devices Drive Demand For Mobile BI Apps</title>
      <link>http://www.crn.com/news/applications-os/232301105/smarter-mobile-devices-drive-demand-for-mobile-bi-apps.htm?pgno=1</link>
      <description>Smarter Mobile Devices Drive Demand For Mobile BI Apps</description>
      <category domain="industry=on" />
      <category domain="topics=on" />
      <category domain="techtopics=3000.0000.0000">Business Intelligence</category>
      <category domain="techtopics=3000.0261.0000">--Mobile BI</category>
      <category domain="country=on" />
      <pubDate>Wed, 28 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.crn.com/news/applications-os/232301105/smarter-mobile-devices-drive-demand-for-mobile-bi-apps.htm?pgno=1</guid>
      <dc:date>2011-12-28T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Kelley Blue Book on a Roll With Analytics</title>
      <link>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=237076&amp;amp;amp;</link>
      <description>With SAS, KBB is doing predictive valuations, revenue modeling, optimizing for advertising. VP Shawn Hushman said, "We've gotten into a host of consumer analytics and marketing analytics, working with our marketing intelligence team to understand consumer behavior on our site and translating that to our OEM partners. We're also doing consumer research within our product group and understanding what are the need states of individuals when they come to our site and how do we grow our engagement within these different areas given our values."</description>
      <category domain="industry=0150.1250.0000">--Media</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Wed, 21 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=237076&amp;amp;amp;</guid>
      <dc:date>2011-12-21T13:00:00Z</dc:date>
    </item>
    <item>
      <title>The magic of analytics</title>
      <link>http://www.google.com/url?sa=X&amp;amp;amp;q=http://www.kmworld.com/Articles/News/News/The-magic-of-analytics-79567.aspx&amp;amp;amp;ct=ga&amp;amp;amp;cad=CAEQAhgAIAAoATAAOABA17DI9wRIAVAAWABiBWVuLVVT&amp;amp;amp;cd=mbjE7i_kCuM&amp;amp;amp;usg=AFQjCNFSbqDsq3Myomh5ysIc17JxgqSbPw</link>
      <description>The Orlando Magic is deploying additional software from SAS in its basketball operations. Last season, the team used SAS to customize the fan experience, and now the coaching staff will use it for analysis of game statistics too.</description>
      <category domain="industry=0700.5900.0000">--Sports</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1004_2.0000">--Statistics</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Wed, 21 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.google.com/url?sa=X&amp;amp;amp;q=http://www.kmworld.com/Articles/News/News/The-magic-of-analytics-79567.aspx&amp;amp;amp;ct=ga&amp;amp;amp;cad=CAEQAhgAIAAoATAAOABA17DI9wRIAVAAWABiBWVuLVVT&amp;amp;amp;cd=mbjE7i_kCuM&amp;amp;amp;usg=AFQjCNFSbqDsq3Myomh5ysIc17JxgqSbPw</guid>
      <dc:date>2011-12-21T13:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS Analytics chosen by Orlando Magic basketball team</title>
      <link>http://www.tmcnet.com/usubmit/2011/12/19/6004229.htm</link>
      <description>US basketball team Orlando Magic will employ SAS Analytics for its basketball operations. Coaching staff will use SAS software tools for automated reporting and analysis of game statistics.</description>
      <category domain="industry=0700.5900.0000">--Sports</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Mon, 19 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.tmcnet.com/usubmit/2011/12/19/6004229.htm</guid>
      <dc:date>2011-12-19T13:00:00Z</dc:date>
    </item>
    <item>
      <title>The Secret Life of Discounts</title>
      <link>http://www.marketplace.org/topics/business/secret-life-discounts</link>
      <description>In an environment where people are perpetually watching their wallets and retailers respond by discounting merchandise and hosting flash sales, how is the business of retail faring? SAS’ Diana McHenry weighs in with a SAS perspective in this Marketplace story.</description>
      <pubDate>Fri, 16 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.marketplace.org/topics/business/secret-life-discounts</guid>
      <dc:date>2011-12-16T13:00:00Z</dc:date>
    </item>
    <item>
      <title>2012 Forecasting Performance Objectives</title>
      <link>http://www.demand-planning.com/2011/12/15/2012-forecasting-performance-objectives/</link>
      <description>Mike Gilliland of SAS wrote, "If your organization does not enjoy similarly favorable 'forecastability' of its demand patterns, then there is little hope of achieving best-in-class performance.  Setting unreachable goals just demoralizes the forecasting staff, and encourages them to cheat.

In general, improvement over prior performance is an appropriate objective. However, we must be wary of the context in which that improvement is measured.
 
If there are no substantive changes in the forecastability of demand patterns from year to year, then improvement in forecast accuracy (or at least, not doing worse!) is a reasonable objective.  However, what if forecastability changes?  This occurs when demand patterns change, either organically (without our intervention), or due to our own sales, marketing, and financial practices."</description>
      <category domain="industry=on" />
      <category domain="topics=on" />
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1002.0000">--Forecasting</category>
      <pubDate>Thu, 15 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.demand-planning.com/2011/12/15/2012-forecasting-performance-objectives/</guid>
      <dc:date>2011-12-15T13:00:00Z</dc:date>
    </item>
    <item>
      <title>In-Database Analytics Brings Benefits One Way or Another</title>
      <link>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=236814&amp;amp;amp;</link>
      <description>Dean Wynkoop of Cabela's describes how he uses SAS to analyze clickstream data. "If you have a 1 billion-row table, you bring all that down to the platform, interrogate it, and keep only what you're interested in. But now we can issue an SQL request to the database, and all we bring down across the network are all the page and product views for just that one product. That's how we're defining in-database analytics."</description>
      <category domain="industry=0650.5150.0000">--Retail - General</category>
      <category domain="industry=0650.4801.0000">--General Merchandise</category>
      <category domain="topics=on" />
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Thu, 15 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.allanalytics.com/author.asp?section_id=1411&amp;amp;amp;doc_id=236814&amp;amp;amp;</guid>
      <dc:date>2011-12-15T13:00:00Z</dc:date>
    </item>
    <item>
      <title>Expedia Utilizes SAS Analytics</title>
      <link>http://www.highbeam.com/doc/1P1-200807920.html</link>
      <description>Expedia, an online online travel agency, tapped SAS Analytics to surface new ways to increase customer satisfaction and keep customers returning. 

With software and services from SAS, Expedia transforms huge volumes of data into useful insights for decision making. As a result, Expedia is effectively optimizing online customer experiences and increasing customer lifetime value to fuel the company's growth.</description>
      <category domain="industry=0700.5750.0000">--Travel</category>
      <category domain="topics=0800.0000.0000">Customer Intelligence</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=1000.1008.0000">--Data Mining</category>
      <pubDate>Wed, 14 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.highbeam.com/doc/1P1-200807920.html</guid>
      <dc:date>2011-12-14T13:00:00Z</dc:date>
    </item>
    <item>
      <title>BI, Analytics Software Supporting Educators</title>
      <link>http://www.information-management.com/newsletters/BI-analytics-education-training-SAS-InetSoft-10021637-1.html</link>
      <description>SAS is providing free access to analytics software to colleges and universities as part of a nationwide effort to meet the market for analytically trained information workers.</description>
      <category domain="industry=0200.1900.0000">--Higher Education</category>
      <category domain="topics=5000.0000.0000">Corporate</category>
      <category domain="topics=0717.0000.0000">Teaching and Learning</category>
      <category domain="topics=3300.0000.0000">OnDemand Solutions</category>
      <category domain="techtopics=1000.0000.0000">Analytics</category>
      <category domain="techtopics=3000.0000.0000">Business Intelligence</category>
      <pubDate>Mon, 12 Dec 2011 13:00:00 GMT</pubDate>
      <guid>http://www.information-management.com/newsletters/BI-analytics-education-training-SAS-InetSoft-10021637-1.html</guid>
      <dc:date>2011-12-12T13:00:00Z</dc:date>
    </item>
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