Beschreibung Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Go ahead, be skeptical about big data. The author was—at first.When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind.Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. 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.This book will help you understand:• Why big data is important to you and your organization• What technology you need to manage it• How big data could change your job, your company, and your industry• How to hire, rent, or develop the kinds of people who make big data work• The key success factors in implementing any big data project• How big data is leading to a new approach to managing analyticsWith dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.
Big Data at Work: Dispelling the Myths, Uncovering the ~ Big Data at Work: Dispelling the Myths, Uncovering the Opportunities / Davenport, Thomas H. / ISBN: 8601411221897 / Kostenloser Versand für alle Bücher mit Versand und Verkauf duch .
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DISPELLING THE MYTHS, UNCOVERING THE OPPORTUNITIES ~ Big Data at or Dispelling the Myths, ncovering the pportunities MARCH , • Leadership. People leading big data initiatives should be passionate and committed to the cause. They should not be afraid to experiment and make informed investments. • Targets. It is important to find specific targets where big data can make a difference to the .
Big Data at Work: Dispelling the Myths, Uncovering the ~ When the term ""big data"" entered the scene, Davenport (Competing on Analytics, Analytics at Work) thought it was just technology hype. But his research has changed his mind. In this interactive Harvard Business Review webinar, Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Big Data at Work: Dispelling the Myths, Uncovering the Opportunities .
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Big Data at Work / Guide books ~ Big Data at Work: Dispelling the Myths, Uncovering the Opportunities February 2014. February 2014. Read More. Author: Thomas H. Davenport; Publisher: Harvard Business Review Press; 60 Harvard Way; Boston; MA; United States; ISBN: 978-1-4221-6816-5. Available at . Save to Binder Binder Export Citation Citation. Share on. Bibliometrics. Citation count. 16. Downloads (6 weeks) 0. Downloads .
Big Data at Work: Dispelling the Myths, Uncovering the ~ Big Data at Work: Dispelling the Myths, Uncovering the Opportunities Go ahead, be skeptical about big data. Analytics expert and bestselling author Tom Davenport was–at first.
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Big Data at Work: Dispelling the Myths, Uncovering the ~ Big Data at Work goes beyond tech-talk to help businesspeople turn Big Data into Big Decisions." Gary L. Gottlieb, MD, MBA, President and CEO, Partners HealthCare System, Inc.; Professor of Psychiatry, Harvard Medical School-- "Big Data at Work provides a terrific foundation for thoughtful planning to exploit the business opportunities created by diverse and vast sources of information .
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Big Data: Chancen und Herausforderungen für die Unterneh ~ Davenport, Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, 2014. Experton Group AG, Datenexplosion in der Unternehmens-IT, 2012. Kemper/Baars/Mehanna, Business Intelligence – Grundlagen und praktische Anwendungen, 2010. McAfee/Brynjolfsson, Big Data: The Management Revolution, Harvard Business Review, 10/2012, S. 3-9.