Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Thomas H. Davenport

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities


Big.Data.at.Work.Dispelling.the.Myths.Uncovering.the.Opportunities.pdf
ISBN: 9781422168165 | 240 pages | 6 Mb


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Big Data at Work: Dispelling the Myths, Uncovering the Opportunities Thomas H. Davenport
Publisher: Harvard Business Review Press



Feb 7, 2014 - You are at the newest post. Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Feb 27, 2014 - Big Data @ Work: Dispelling the Myths, Uncovering the Opportunities Thomas H. Davenport Harvard Business Review Press (2014). Mar 20, 2014 - Big data is definitely big, but it is also misnamed, as Tom Davenport mentions in his new book, Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Feb 7, 2014 - New Book: Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Feb 6, 2014 - big data @ work: Dispelling the Myths, Uncovering the Opportunities; Thomas H. How to make much better decisions about and then with big data systems and capabilities. Davenport, Harvard Business Review Press, Boston, MA; 2014, 225 pp. Posted by Vincent Granville on February 6, 2014 at 11:23am in New Books and Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. Click here to check if anything new just came in. May 7, 2014 - For this great price, the Big Data at Work: Dispelling the Myths, Uncovering the Opportunities comes highly respected and is always a popular choice amongst most people. Nov 19, 2013 - Modern Analytics was featured in the Harvard Business Review's December 2013 edition in an article by Thomas H. Mar 20, 2014 - Tom Davenport, in his Harvard Business Review webcast, Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, isn't as pessimistic, he said 2015 may be the year big data crosses the chasm.





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