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    <title><![CDATA[Blog]]></title>
    <link>http://local.datascienceseries.com/</link>
    <description></description>
    <dc:language>en</dc:language>
    <dc:creator>jose.delameilleure@a-cross.com</dc:creator>
    <dc:rights>Copyright 2013</dc:rights>
    <dc:date>2013-03-14T22:07:06+00:00</dc:date>
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    <item>
      <title><![CDATA[It&#8217;s not just Lance Armstrong who is afraid of being caught out by big data]]></title>
      <link>http://datascienceseries.com/blog/its-not-just-lance-armstrong-who-is-afraid-of-being-caught-out-by-big-data</link>
      
      <description><![CDATA[Those cheating the public sector should be afraid of the same technology that led to the disgraced cyclist's downfall, writes Steven Totman, data integration business unit executive at Syncsort. ]]></description>
      <dc:subject><![CDATA[Analytics, Big Data]]></dc:subject>
      <dc:date>2013-03-14T22:07:06+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[EMC Announces Enhanced Greenplum Big Data Analytics Appliance]]></title>
      <link>http://datascienceseries.com/blog/emc-announces-enhanced-greenplum-big-data-analytics-appliance</link>
      
      <description><![CDATA[EMC Greenplum launches a new version of its ‘Big Data analytics in a box’, the Data Computing Appliance (DCA) Unified Analytics Platform (UAP). This enhanced, all-in-one, predictive analytics enabling platform combines an MPP database – for managing, storing and analyzing the massive amount of internal data at hand - with Hadoop distribution, for the analysis and processing of external, unstructured data. This platform is in response to a growing need. Witness Gartner’s prediction that, by 2015, 30% of most analytic solutions should be able to handle both structured and unstructured data simultaneously.]]></description>
      <dc:subject><![CDATA[Analytics, Big Data]]></dc:subject>
      <dc:date>2013-02-06T08:56:21+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[Fighting danger with data: when Big Data meets IT security]]></title>
      <link>http://datascienceseries.com/blog/fighting-danger-with-data-when-big-data-meets-it-security</link>
      
      <description><![CDATA[Seeing as the digital threat landscape is evolving in a fast and furious manner and traditional security models are no longer up to speed, a growing number of software vendors now realize that a different approach to protection is needed. The good news is that we should be seeing some exciting Big Data analytics announcements this year in the IT security sector, to boost performance of network monitoring systems and enable faster detection of cyber attacks. That is what industry experts are expecting anyway. One such announcement has, in fact, already been made. EMC’s security division RSA is merging its security technologies with Big Data analytics to further improve its attack detection and analysis capabilities with a long-term vision. ]]></description>
      <dc:subject><![CDATA[Analytics, Big Data, Data Scientists]]></dc:subject>
      <dc:date>2013-02-05T14:55:34+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[The definitive Big Data analytics checklist for smart marketers]]></title>
      <link>http://datascienceseries.com/blog/the-definitive-big-data-analytics-checklist-for-smart-marketers</link>
      
      <description><![CDATA[Convinced about the potential of Big Data but looking for concrete examples of how it can help you - as a marketer – to gain a 360 view of consumers, up the customer experience and drive revenue? Well here are five goodies that Big Data tools have to offer to woe and keep clients.]]></description>
      <dc:subject><![CDATA[Analytics, Big Data, Data Scientists, Data Warehousing]]></dc:subject>
      <dc:date>2013-01-28T05:25:14+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[Open Data powering smart cities]]></title>
      <link>http://datascienceseries.com/blog/open-data-powering-smart-cities</link>
      
      <description><![CDATA[Cities of today are true magnets, attracting people from all around with their exciting opportunities. While in 1950 a ‘mere’ 29.1% of the world population lived in cities, this figure jumped to 50.6 % in 2010 and it is predicted to evolve to 64.7% by 2040. The numbers are simply staggering, especially when we realize that urban areas occupy a mere 2% of the world’s surface.]]></description>
      <dc:subject><![CDATA[Analytics, Big Data, Data Scientists]]></dc:subject>
      <dc:date>2013-01-18T04:43:53+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[Curing healthcare challenges with Big Data]]></title>
      <link>http://datascienceseries.com/blog/curing-healthcare-challenges-with-big-data</link>
      
      <description><![CDATA[These are trying times for those in the healthcare industry, which no longer profit from their former status of seemingly sacred immunity. Healthcare providers of today need to continually prove that they are worth soliciting by delivering high-quality and efficient care services. For the sake of the patient but also to drive their own revenue and minimize expenses. To heighten the challenge, healthcare is turning into a consumerized market, with patients transformed into highly informed, critical and aware customers. If they check out a medical provider and they don’t like it, they will shop elsewhere. ]]></description>
      <dc:subject><![CDATA[Analytics, Big Data, Data Scientists]]></dc:subject>
      <dc:date>2013-01-14T05:54:49+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[“Big Data market to reach 23.8 billion by 2016” says IDC]]></title>
      <link>http://datascienceseries.com/blog/big-data-market-to-reach-23.8-billion-by-2016-says-idc</link>
      
      <description><![CDATA[International Data Corporation (IDC) has released its ‘Worldwide Big Data Technology and Services 2012-2016 Forecast’, predicting that revenues for the global big data technology market will reach $23.8 billion by 2016. This will be the result of an annual growth rate of 31.7 % which is a staggering sevenfold of the rate of the entire ICT market. ]]></description>
      <dc:subject><![CDATA[Analytics, Big Data]]></dc:subject>
      <dc:date>2013-01-11T16:30:50+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[Big Data here to stay, says new Actuate Corporation survey]]></title>
      <link>http://datascienceseries.com/blog/big-data-here-to-stay-says-new-actuate-corporation-survey</link>
      
      <description><![CDATA[A recent survey by the Actuate Corporation – focusing on Global 9000 firms (companies with more than $1 billion in annual revenues) – revealed that 26% of the responding companies were currently working on Big Data projects while 34% said they resided in a planning and evaluating phase. A sizeable 40%, however, of respondents admitted that they did not have any concrete projects in the pipeline. The latter group indicated lack of experienced human capital and/or cost concerns as the biggest obstacles for launching themselves into Big Data.]]></description>
      <dc:subject><![CDATA[Analytics, Big Data]]></dc:subject>
      <dc:date>2013-01-10T05:55:02+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[Winning the war on customer churn with Big Data]]></title>
      <link>http://datascienceseries.com/blog/winning-the-war-on-customer-churn-with-big-data</link>
      
      <description><![CDATA[McKinsey claims that 55% of current marketing budget over the world is spent on new customer acquisition and only 12% on customer retention. However, according to ‛Leading on the Edge of Chaos’ (Emmet Murphy & Mark Murphy), organizations have only a 5-20% chance of selling to a prospect. The probability of selling to an existing customer - on the other hand - is between 60 and 70%. ]]></description>
      <dc:subject><![CDATA[Analytics, Big Data]]></dc:subject>
      <dc:date>2013-01-07T10:55:46+00:00</dc:date>
    </item>

    <item>
      <title><![CDATA[Catching today’s fickle consumer with Big Data]]></title>
      <link>http://datascienceseries.com/blog/catching-todays-fickle-consumer-with-big-data</link>
      
      <description><![CDATA[Marketers of today have a tough nut to crack. Consumers are no longer the docile subjects that they used to be. Before they buy, they look around. A lot. And when they buy, they talk about it. To everybody. They want to be treated as unique. They want to be listened to. They want dialogue. They want to be thanked when they buy. In short, they are influencers and mini-tyrants who will switch brands in the blink of an eye if those don’t do as they please. Gone are the ‛markets’ of yore. They evolved into ‛networks of intelligence’, where consumers have turned into extremely informed and hard-to-please, networked thinkers.]]></description>
      <dc:subject><![CDATA[]]></dc:subject>
      <dc:date>2013-01-03T05:22:23+00:00</dc:date>
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