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Strategy

Uniting Business & IT With Data

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November 6, 2012
Uniting Business & IT With Data

by Angela Guess Tamara Dull of the Data Roundtable reports, “As an analytics giant (and, full disclosure, my new employer), SAS has always been in the forefront of advanced analytics and data mining. But the topics of data governance and data management are emerging competencies for SAS – and  topics that continue to find...
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How Mobile is Changing Data Governance

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November 2, 2012
How Mobile is Changing Data Governance

by Angela Guess Ben Cole of TechTarget reports, “Cloud computing and mobile-device use are changing the way companies produce information — and in doing so, they’re creating new challenges for organizations looking to develop data governance best practices. But could this trend toward data governance actually help organizations struggling with information management? Certainly, cloud and...
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IBM’s Big Data Bet

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November 2, 2012
IBM’s Big Data Bet

by Angela Guess Peter Cohan of Forbes reports, “International Business Machines (IBM) has three ways to profit from corporate and government spending on technology — services, hardware, and software. And thanks to Big Data, Big Blue is poised to use all three to add millions to its bottom line. As he explained in an October...
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Creating a Talent Pool for Big Data

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October 26, 2012
Creating a Talent Pool for Big Data

by Angela Guess Quentin Hardy of the New York Times reports, “Companies without enough data scientists, meet lots of analysts willing to take your work. EMC’s Greenplum division, which makes data analytics software, is joining forces with Kaggle, a company that finds and deploys people good at statistical inference, to produce a kind of Big...
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Using the DAMA DM-BOK to Drive Data Management Policy- Part 1

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October 22, 2012
Rod MacPherson

by Rod MacPherson When I attended Enterprise Data World (EDW) 2011 in Chicago, I was fortunate to sit in a session led by April Reeve describing how she used the DAMA Data Management Body of Knowledge (DMBOK) to develop a maturity assessment instrument that she deployed within a mortgage bank.  Taking inspiration from this,...
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Big Data to Account for $232 Billion in Spending Through 2016

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October 22, 2012
Big Data to Account for $232 Billion in Spending Through 2016

by Angela Guess Alex Williams of TechCrunch reports, “Big data will drive $232 billion in spending through 2016. It will directly or indirectly drive $96 billion of worldwide IT spending in 2012, and is forecast to drive $120 billion of IT spending in 2013. Gartner Research published the results today. They draw several conclusions from...
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Big Data Not Yet Enterprise Ready

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October 15, 2012
Big Data Not Yet Enterprise Ready

by Angela Guess Andrew Brust of ZDnet recently opined, “Big data technology is exciting, innovative and genuinely powerful. It can absolutely take Enterprise analytics to the next level…but not yet. In Global 1000 organizations, and numerous smaller companies, skill sets and best-practices have been building for years around Business Intelligence (BI) technology and for decades around...
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Starting Small with Big Data

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October 4, 2012
Starting Small with Big Data

by Angela Guess Bill Franks of the Harvard Business Review recently wrote, “While it isn’t hard to argue the value of analyzing big data, it is intimidating to figure out what to do first. There are many unknowns when working with data that your organization has never used before — the streams of unstructured...
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Big Data, Big Decisions

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September 28, 2012
Big Data, Big Decisions

by Angela Guess Scot Petersen of SearchCIO.com recently reported, “You know the topic of ‘big data’ management has really made it when The Harvard Business Review puts it on the cover of its latest issue. The informative article by Andrew McAfee and Erik Brynjolfsson is strategic in focus, as you would expect. One point in particular stood out:...
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Data Model Shows Why Workers Quit

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September 24, 2012
Data Model Shows Why Workers Quit

by Angela Guess Rachel Emma Silverman of the Wall Street Journal reports, “Take it from the quant geeks—money can’t always buy workers’ love. Companies armed with an array of analytic tools are changing the way they pay and keep their workers. Some of these data-driven findings seem counterintuitive: Rotely paying workers more may not...
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