Big Data at Work

Dispelling the Myths, Uncovering the Opportunities
240 Seiten, Hardcover
€ 38,90
-
+
Lieferung innerhalb von 28 Werktagen

Bitte haben Sie einen Moment Geduld, wir legen Ihr Produkt in den Warenkorb.

Kurzbeschreibung des Verlags

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.

FALTER-Rezension

Welche Möglichkeiten und Kosten bringt Big Data?

Emily Walton in FALTER 22/2018 vom 30.05.2018 (S. 20)

Wer denkt, dass es sich bei Big Data lediglich um einen Technologie-Hype handelt, sollte rasch umdenken, warnt Tom Davenport. Der renommierte Wirtschaftsanalytiker, der selbst skeptisch war, als der Begriff Big Data erstmals auftauchte, liefert ein fundiertes Grundlagenwerk: Was bedeutet Big Data aus technischer Sicht, aus Verbrauchersicht und aus Managementsicht? Welche Möglichkeiten und Kosten bringt Big Data? Und: Welche Aspekte werden überbewertet? Auch Davenport zieht reale Beispiele heran, darunter UPS, Amazon und Citigroup.

weiterlesen