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Big Data
Author: Viktor Mayer-Schönberger, Viktor; Cukier Mayer-Schönberger
Publisher: FinanzBuch Verlag
ISBN: 3864144604
Pages: 288
Year: 2013-10-08
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Ob Kaufverhalten, Grippewellen oder welche Farbe am ehesten verrät, ob ein Gebrauchtwagen in einem guten Zustand ist – noch nie gab es eine solche Menge an Daten und noch nie bot sich die Chance, durch Recherche und Kombination in der Daten¬flut blitzschnell Zusammenhänge zu entschlüsseln. Big Data bedeutet nichts weniger als eine Revolution für Gesellschaft, Wirtschaft und Politik. Es wird die Weise, wie wir über Gesundheit, Erziehung, Innovation und vieles mehr denken, völlig umkrempeln. Und Vorhersagen möglich machen, die bisher undenkbar waren. Die Experten Viktor Mayer-Schönberger und Kenneth Cukier beschreiben in ihrem Buch, was Big Data ist, welche Möglichkeiten sich eröffnen, vor welchen Umwälzungen wir alle stehen – und verschweigen auch die dunkle Seite wie das Ausspähen von persönlichen Daten und den drohenden Verlust der Privatsphäre nicht.
Big Data
Author: Viktor Mayer-Schönberger, Kenneth Cukier
Publisher: Houghton Mifflin Harcourt
ISBN: 0544002938
Pages: 240
Year: 2013-03-05
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A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing. www.big-data-book.com
Reinventing Capitalism in the Age of Big Data
Author: Viktor Mayer-Schönberger, Thomas Ramge
Publisher: Basic Books
ISBN: 0465093698
Pages: 288
Year: 2018-02-27
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From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schönberger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future.
Big Data at Work
Author: Thomas Davenport
Publisher: Harvard Business Review Press
ISBN: 1422168166
Pages: 240
Year: 2014-02-25
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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 analytics With 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.
Data Science and Big Data Analytics
Author: EMC Education Services
Publisher: John Wiley & Sons
ISBN: 1118876059
Pages: 432
Year: 2015-01-05
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Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
An Introduction to Bibliometrics
Author: Rafael Ball
Publisher: Chandos Publishing
ISBN: 0081021518
Pages: 90
Year: 2017-09-18
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An Introduction to Bibliometrics: New Development and Trends provides a comprehensible, readable and easy to read introduction to bibliometrics. Importantly, the book surveys the latest developments of bibliometrics (such as altmetrics, etc.) and how the field is likely to change over the next decade. In the literature, bibliometrics is generally discussed from one of two perspectives: (1) Purely mathematical/statistical or (2) Its sociological implications. Both approaches are very far from how most users want to apply bibliometrics. This book fills that need by providing tactics on how bibliometrics can be applied to their sphere of scientific activity. Provides readers with an understanding of bibliometric indicators, including their background and significance, classification in quantitative performance, and an evaluation of science and research Includes an overview of the most important indicators, their areas of application, and where and when they should and should not be used Discusses future trends in the quantitative performance evaluation of scientific research
Big Data Challenges
Author: Anno Bunnik, Anthony Cawley, Michael Mulqueen, Andrej Zwitter
Publisher: Springer
ISBN: 1349948853
Pages: 140
Year: 2016-05-13
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This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.
Big Data For Dummies
Author: Judith Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman
Publisher: John Wiley & Sons
ISBN: 1118644174
Pages: 336
Year: 2013-04-02
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Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Big Data in Medical Science and Healthcare Management
Author: Peter Langkafel
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110445743
Pages: 290
Year: 2015-11-27
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Big Data in medical science – what exactly is that? What are the potentials for healthcare management? Where is Big Data at the moment? Which risk factors need to be kept in mind? What is hype and what is real potential? This book provides an impression of the new possibilities of networked data analysis and "Big Data" – for and within medical science and healthcare management. Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of digital information is growing exponentially. An amount of data corresponding to 12 million novels emerges during the time of a single hospital stay. These are dimensions that cannot be dealt with without IT technologies. What can we do with the data that are available today? What will be possible in the next few years? Do we want everything that is possible? Who protects the data from wrong usage? More importantly, who protects the data from NOT being used? Big Data is the "resource of the 21st century" and might change the world of medical science more than we understand, realize and want at the moment. The core competence of Big Data will be the complete and correct collection, evaluation and interpretation of data. This also makes it possible to estimate the frame conditions and possibilities of the automation of daily (medical) routine. Can Big Data in medical science help to better understand fundamental problems of health and illness, and draw consequences accordingly? Big Data also means the overcoming of sector borders in healthcare management. The specialty of Big Data analysis will be the new quality of the outcomes of the combination of data that were not related before. That is why the editor of the book gives a voice to 30 experts, working in a variety of fields, such as in hospitals, in health insurance or as medical practitioners. The authors show potentials, risks, concrete practical examples, future scenarios, and come up with possible answers for the field of information technology and data privacy.
Exploring the Boundaries of Big Data
Author: Bart van der Sloot, Dennis Broeders, Erik Schrijvers
Publisher: WRR Verkenningen
ISBN: 9462983585
Pages: 286
Year: 2016
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Though the exact nature and delineation of Big Data is still unclear, it seems likely that Big Data will have an enormous impact on our daily lives. 'Exploring the Boundaries of Big Data' serves as preparatory work for The Netherlands Scientific Council for Government Policy's advice to the Dutch government, which has asked the Council to address questions regarding Big Data, security and privacy. It is divided into five parts, each part engaging with a different perspective on Big Data: the technical, empirical, legal, regulatory and international perspective.
Big Data - Daten strategisch nutzen!
Author: Ralf-Christian Härting
Publisher: BoD – Books on Demand
ISBN: 3732285847
Pages: 60
Year: 2014-04-30
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Seit dem Jahr 2004 finden im Zwei-Jahres-Rhythmus im Studiengang Betriebswirtschaft für kleine und mittlere Unternehmen der Fakultät für Wirtschaftswissenschaft an der Hochschule Aalen die sogenannten Transfertage statt. Dabei handelt es sich um eine eintägige Veranstaltung, die sich mit für mittelständische Unternehmen relevanten Themen beschäftigt. Die Leitung der Transfertage liegt bei Prof. Dr. Ralf-Christian Härting, der im Studiengang für den Bereich der Wirtschaftsinformatik zuständig ist. Die vergangenen beiden Transfertage behandelten die Themen „Überlebensmanagement in Familienunternehmen“ (2012) sowie „Marketing- und Vetriebssteuerung“ (2010). In diesem Tagungsband werden Inhalte und Ergebnisse aus den Beiträgen der Tagung vom 15.05.2014 zum Thema Big Data sowie weiterführende Informationen zur Verfügung gestellt.
Clinical Calculations
Author: Joyce LeFever Kee, Sally M. Marshall
Publisher: Elsevier Health Sciences
ISBN: 0323390846
Pages:
Year: 2016-01-25
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Accurate drug calculations start here! Clinical Calculations With Applications to General and Specialty Areas, 8th Edition covers all four major drug calculation methods ratio & proportion, formula, fractional equation, and dimensional analysis. It also includes practice problems not only for general care but also for specialty areas such as pediatrics and critical care. A new chapter covers insulin administration, and concise, illustrated information includes the latest medications, drug administration techniques, and devices. Written by a team of experts led by Joyce Kee, Clinical Calculations makes it easy to understand drug calculation and emphasizes patient safety above all else.Coverage of all four major drug calculation methods ratio & proportion, formula, fractional equation, and dimensional analysis allows you to apply the method that works best for you.Updated information on drug administration techniques and devices helps you master the latest techniques of drug administration, including oral, intravenous, intra-muscular, subcutaneous, and other routes.Updated drug information ensures you are familiar with the most commonly used drugs in clinical practice."Caution "boxes alert you to problems or issues related to various drugs and their administration.Information on infusion pumps enteral, single, multi-channel, PCA, and insulin helps you understand their use in drug administration."Calculations for Specialty Areas" section addresses the drug calculations needed to practice in pediatric, critical care, labor and delivery, and community settings.Detailed, full-color photos and illustrations show the most current equipment for IV therapy, the latest types of pumps, and the newest syringes.A comprehensive post-test allows you to test your knowledge of key concepts from the text.NEW "Insulin Administration" chapter provides a guide to administering injectable drugs.NEW practice problems, drugs, drug labels, and photos keep you up to date with today s clinical practice.NEW! Updated QSEN guidelines and The Joint Commission standards help in reducing medication errors and in providing safe patient care. "
Big Data
Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1118965787
Pages: 256
Year: 2015-01-09
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Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands
Academically Adrift
Author: Richard Arum, Josipa Roksa
Publisher: University of Chicago Press
ISBN: 0226028577
Pages: 272
Year: 2011-01-15
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In spite of soaring tuition costs, more and more students go to college every year. A bachelor’s degree is now required for entry into a growing number of professions. And some parents begin planning for the expense of sending their kids to college when they’re born. Almost everyone strives to go, but almost no one asks the fundamental question posed by Academically Adrift: are undergraduates really learning anything once they get there? For a large proportion of students, Richard Arum and Josipa Roksa’s answer to that question is a definitive no. Their extensive research draws on survey responses, transcript data, and, for the first time, the state-of-the-art Collegiate Learning Assessment, a standardized test administered to students in their first semester and then again at the end of their second year. According to their analysis of more than 2,300 undergraduates at twenty-four institutions, 45 percent of these students demonstrate no significant improvement in a range of skills—including critical thinking, complex reasoning, and writing—during their first two years of college. As troubling as their findings are, Arum and Roksa argue that for many faculty and administrators they will come as no surprise—instead, they are the expected result of a student body distracted by socializing or working and an institutional culture that puts undergraduate learning close to the bottom of the priority list. Academically Adrift holds sobering lessons for students, faculty, administrators, policy makers, and parents—all of whom are implicated in promoting or at least ignoring contemporary campus culture. Higher education faces crises on a number of fronts, but Arum and Roksa’s report that colleges are failing at their most basic mission will demand the attention of us all.
Wissen nimmt Gestalt an
Author: Benedikt Lutz
Publisher: Edition-Donau-Univ. Krems
ISBN: 3902505559
Pages: 235
Year: 2014-03-21
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Wissen nimmt Gestalt an - so lautete das Motto der Kremser Wissensmanagement- Tage 2013 und auch der Titel des Keynote-Vortrags von Martin Eppler. Im Wissensmanagement werden Gestaltungsaspekte immer wichtiger, wie zum Beispiel die mediale Aufbereitung von Informationen in PowerPoint-Präsentationen, Intranet-Websites oder für Smartphones. Generell geht es dabei um das Schaffen geeigneter Randbedingungen und Räume, um Wissen in Unternehmen wirksam zu machen; in diesem Zusammenhang wird der Begriff der enabling spaces immer wichtiger. Im Zentrum der Konferenz stand angewandtes Wissensmanagement, wobei der Dialog zwischen Wissenschaft und Praxis nicht zu kurz kam. Die verbindende Klammer der Beiträge dieses Bandes ist die Gestaltung gelingender Wissenskommunikation durch geeignete Mittel, wie Story Telling, Debriefing- Prozesse, Communities of Practice, Einführung von Social Software und Projektkommunikation im internationalen und interkulturellen Umfeld. Die 2. Wissensmanagement-Tage Krems fanden vom 23. bis 24. April 2013 an der Donau-Universität Krems in Kooperation mit dem Magazin wissensmanagement statt.

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