big data @ work

Chancen erkennen, Risiken verstehen

Author: Thomas H. Davenport

Publisher: Vahlen

ISBN: 3800648156

Category: Fiction

Page: 214

View: 5746

Big Data in Unternehmen. Dieses neue Buch gibt Managern ein umfassendes Verständnis dafür, welche Bedeutung Big Data für Unternehmen zukünftig haben wird und wie Big Data tatsächlich genutzt werden kann. Am Ende jedes Kapitels aktivieren Fragen, selbst nach Lösungen für eine erfolgreiche Implementierung und Nutzung von Big Data im eigenen Unternehmen zu suchen. Die Schwerpunkte - Warum Big Data für Sie und Ihr Unternehmen wichtig ist - Wie Big Data Ihre Arbeit, Ihr Unternehmen und Ihre Branche verändern - - wird - Entwicklung einer Big Data-Strategie - Der menschliche Aspekt von Big Data - Technologien für Big Data - Wie Sie erfolgreich mit Big Data arbeiten - Was Sie von Start-ups und Online-Unternehmen lernen können - Was Sie von großen Unternehmen lernen können: Big Data und Analytics 3.0 Der Experte Thomas H. Davenport ist Professor für Informationstechnologie und -management am Babson College und Forschungswissenschaftler am MIT Center for Digital Business. Zudem ist er Mitbegründer und Forschungsdirektor am International Institute for Analytics und Senior Berater von Deloitte Analytics.

big data @ work

Chancen erkennen, Risiken verstehen

Author: Thomas H. Davenport

Publisher: N.A

ISBN: 9783800648146


Page: 214

View: 4395

Big Data in Unternehmen.Dieses neue Buchgibt Managern ein umfassendes Verständnis dafür, welche Bedeutung Big Data für Unternehmen zukünftig haben wird und wie Big Data tatsächlich genutzt werden kann. Am Ende jedes Kapitels aktivieren Fragen, selbst nach Lösungen für eine erfolgreiche Implementierung und Nutzung von Big Data im eigenen Unternehmen zu suchen.Die Schwerpunkte- Warum Big Data für Sie und Ihr Unternehmen wichtig ist- Wie Big Data Ihre Arbeit, Ihr Unternehmen und Ihre Branche verändern - - wird- Entwicklung einer Big Data-Strategie- Der menschliche Aspekt von Big Data- Technologie...

Big Data at Work

Dispelling the Myths, Uncovering the Opportunities

Author: Thomas Davenport

Publisher: Harvard Business Review Press

ISBN: 1422168166

Category: Business & Economics

Page: 240

View: 2748

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.

Making Big Data Work for Your Business

Author: Sudhi Sinha

Publisher: Packt Publishing Ltd

ISBN: 1783000996

Category: Business & Economics

Page: 170

View: 1555

If your are interested in the power of Big Data to drive improvement in your business, then this book will help you build and initiate a project for positive change.

Big Data at Work

The Data Science Revolution and Organizational Psychology

Author: Scott Tonidandel,Eden B. King,Jose M. Cortina

Publisher: Routledge

ISBN: 1317702700

Category: Psychology

Page: 368

View: 9031

The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

Big Data

Die Revolution, die unser Leben verändern wird

Author: Viktor Mayer-Schönberger,Viktor; Cukier Mayer-Schönberger

Publisher: Redline Wirtschaft

ISBN: 3864144590

Category: Political Science

Page: 288

View: 9521

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.

Analytics and Big Data: The Davenport Collection (6 Items)

Author: Thomas H. Davenport,Jeanne G. Harris

Publisher: Harvard Business Review Press

ISBN: 1625277741

Category: Business & Economics

Page: 961

View: 5665

The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.

Cyber Society, Big Data, and Evaluation

Comparative Policy Evaluation

Author: Jonathan D. Breul

Publisher: Transaction Publishers

ISBN: 1412864518

Category: Political Science

Page: 218

View: 4545

We are living in a cyber society. Mobile devices, social media, the Internet, crime cameras, and other diverse sources can be pulled together to form massive datasets, known as big data, which make it possible to learn things we could not begin to comprehend otherwise. While private companies are using this macroscopic tool, policy-makers and evaluators have been slower to adopt big data to make and evaluate public policy. Cyber Society, Big Data, and Evaluation shows ways big data is now being used in policy evaluation and discusses how it will transform the role of evaluators in the future. Arguing that big data will play a permanent and growing role in policy evaluation, especially since results may be delivered almost in real time, the contributors declare that the evaluation community must rise to the challenge or risk being marginalized. This volume suggests that evaluators must redefine their tools in relation to big data, obtain competencies necessary to work with it, and collaborate with professionals already experienced in using big data. By adding evaluators’ expertise, for example, in theory- driven evaluation, using repositories, making value judgements, and applying findings, policy-makers and evaluators can come to make better-informed decisions and policies.

Big Data

A Revolution that Will Transform how We Live, Work, and Think

Author: Viktor Mayer-Schönberger,Kenneth Cukier

Publisher: Houghton Mifflin Harcourt

ISBN: 0544002695

Category: Business & Economics

Page: 242

View: 8963

This revelatory exploration of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly and draw profound and surprising conclusions from it, discusses how it will change our lives and what we can do to protect ourselves from its hazards. 75,000 first printing.

Controlling ohne Controller?

Die Zukunft des Controllers

Author: Péter Horváth,Thomas Reichmann,Ulrike Baumöl,Andreas Hoffjan,Klaus Möller,Burkhard Pedell

Publisher: Vahlen

ISBN: 3800656000

Category: Business & Economics

Page: 112

View: 4884

Controller müssen sich bewegen! Die stärkste Veränderung, die die Digitalisierung für Unternehmen bewirkt, betrifft nicht nur die Fähigkeit, Innovationen kundenorientiert und schnell zu entwickeln, sie betrifft auch und gerade die Unternehmenssteuerung. Dies sogar in doppelter Hinsicht: 1. Die Steuerungsprozesse werden umfassend digitalisiert. 2. Das Kompetenzprofil, aber auch die Anzahl der am Steuerungsprozess Mitwirkenden werden sich drastisch verändern. Der Controller als Herr der Zahlen und als Gestalter der Steuerungsprozesse steht vor der größten Herausforderung seiner bisherigen Existenz. Wie verändert sich seine Rolle als „Business Partner“ der Unternehmensführung? Findet die Zukunft im Controlling vielleicht ohne Controller statt? In diesem Schwerpunktheft der Zeitschrift für Controlling wird zentralen Fragen der Controllerzukunft nachgegangen. Dazu gehören die größten Herausforderungen an die Controllerinnen und Controller und welche Überlebenschancen sie haben, wenn sie bereit sind, diese Herausforderungen anzunehmen. Aus dem Inhalt: - CFO-Arbeit 2030: Wie wird der Finanzvorstand in zehn Jahren arbeiten? - Gefährdet die Digitalisierung die Arbeitsplätze von Controllern und Bilanzbuchhaltern? - Künstliche Intelligenz: Löst Watson den Controller ab? - Echtzeitsteuerung: zu schnell für den Controller? - Blockchain: Heiliger Gral oder überbewerteter Hype? Erkenntnisse aus der Finanzindustrie - Selbststeuerung auf Mitarbeiterebene - Data Scientist – Controller in der Digitalisierung? - Persönliche Überlebensstrategien für Controller im Zeichen der Digitalisierung - Was Controller über Business Analytics wissen müssen - Resilienz und Controlling – Wie Controller die „Stehaufmännchen“-Qualitäten ihrer Unternehmen stärken können - Advanced Analytics-Werkzeuge, die der Controller kennen sollte - Mit neuer In-Memory-Software die Unternehmenssteuerung beschleunigen - Wie wachsen Controlling und Business Analytics zusammen? - Kosten- und Erlösstruktur im Wandel durch Industrie 4.0 – Empirische Benchmarks - Controlling-Cockpit für ein mittelständisches Unternehmen

Big Data For Dummies

Author: Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman

Publisher: John Wiley & Sons

ISBN: 1118644174

Category: Computers

Page: 336

View: 5458

Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations. Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept. You'll learn what it is, why itmatters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importanceto businesses, not-for-profit organizations, government, and ITprofessionals Authors are experts in information management, big data, and avariety of solutions Explains big data in detail and discusses how to select andimplement a solution, security concerns to consider, data storageand 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 helpsyou take charge of big data solutions for your organization.

Planning for Big Data

Author: Edd Wilder-James

Publisher: "O'Reilly Media, Inc."

ISBN: 1449329640

Category: Computers

Page: 83

View: 800

In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative. As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven. Written by O'Reilly Radar's experts on big data, this anthology describes: The broad industry changes heralded by the big data era What big data is, what it means to your business, and how to start solving data problems The software that makes up the Hadoop big data stack, and the major enterprise vendors' Hadoop solutions The landscape of NoSQL databases and their relative merits How visualization plays an important part in data work

Big Data

Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance

Author: Bernard Marr

Publisher: John Wiley & Sons

ISBN: 1118965825

Category: Business & Economics

Page: 256

View: 3660

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

Big Data Revolution

What farmers, doctors and insurance agents teach us about discovering big data patterns

Author: Rob Thomas,Patrick McSharry

Publisher: John Wiley & Sons

ISBN: 1118943724

Category: Technology & Engineering

Page: 288

View: 6885

Exploit the power and potential of Big Data to revolutionizebusiness outcomes Big Data Revolution is a guide to improving performance,making better decisions, and transforming business through theeffective use of Big Data. In this collaborative work by an IBMVice President of Big Data Products and an Oxford Research Fellow,this book presents inside stories that demonstrate the power andpotential of Big Data within the business realm. Readers are guidedthrough tried-and-true methodologies for getting more out of data,and using it to the utmost advantage. This book describes the majortrends emerging in the field, the pitfalls and triumphs beingexperienced, and the many considerations surrounding Big Data, allwhile guiding readers toward better decision making from theperspective of a data scientist. Companies are generating data faster than ever before, andmanaging that data has become a major challenge. With the rightstrategy, Big Data can be a powerful tool for creating effectivebusiness solutions – but deep understanding is key whenapplying it to individual business needs. Big DataRevolution provides the insight executives need to incorporateBig Data into a better business strategy, improving outcomes withinnovation and efficient use of technology. Examine the major emerging patterns in Big Data Consider the debate surrounding the ethical use of data Recognize patterns and improve personal and organizationalperformance Make more informed decisions with quantifiable results In an information society, it is becoming increasingly importantto make sense of data in an economically viable way. It can drivenew revenue streams and give companies a competitive advantage,providing a way forward for businesses navigating an increasinglycomplex marketplace. Big Data Revolution provides expertinsight on the tool that can revolutionize industries.

Big Data, Data Mining, and Machine Learning

Value Creation for Business Leaders and Practitioners

Author: Jared Dean

Publisher: John Wiley & Sons

ISBN: 1118920708

Category: Computers

Page: 288

View: 3974

With big data analytics comes big insights intoprofitability Big data is big business. But having the data and thecomputational power to process it isn't nearly enough to producemeaningful results. Big Data, Data Mining, and Machine Learning:Value Creation for Business Leaders and Practitioners is acomplete resource for technology and marketing executives lookingto cut through the hype and produce real results that hit thebottom line. Providing an engaging, thorough overview of thecurrent state of big data analytics and the growing trend towardhigh performance computing architectures, the book is adetail-driven look into how big data analytics can be leveraged tofoster positive change and drive efficiency. With continued exponential growth in data and ever morecompetitive markets, businesses must adapt quickly to gain everycompetitive advantage available. Big data analytics can serve asthe linchpin for initiatives that drive business, but only if theunderlying technology and analysis is fully understood andappreciated by engaged stakeholders. This book provides a view intothe topic that executives, managers, and practitioners require, andincludes: A complete overview of big data and its notablecharacteristics Details on high performance computing architectures foranalytics, massively parallel processing (MPP), and in-memorydatabases Comprehensive coverage of data mining, text analytics, andmachine learning algorithms A discussion of explanatory and predictive modeling, and howthey can be applied to decision-making processes Big Data, Data Mining, and Machine Learning providestechnology and marketing executives with the complete resource thathas been notably absent from the veritable libraries of publishedbooks on the topic. Take control of your organization's big dataanalytics to produce real results with a resource that iscomprehensive in scope and light on hyperbole.

Digital Asset Ecosystems

Rethinking crowds and cloud

Author: Tobias Blanke

Publisher: Elsevier

ISBN: 1780633823

Category: Business & Economics

Page: 192

View: 7109

Digital asset management is undergoing a fundamental transformation. Near universal availability of high-quality web-based assets makes it important to pay attention to the new world of digital ecosystems and what it means for managing, using and publishing digital assets. The Ecosystem of Digital Assets reflects on these developments and what the emerging ‘web of things’ could mean for digital assets. The book is structured into three parts, each covering an important aspect of digital assets. Part one introduces the emerging ecosystems of digital assets. Part two examines digital asset management in a networked environment. The third part covers media ecosystems. Looks to the future of digital asset management, focussing on the next generation web Includes up-to date developments in the field, crowd sourcing, and cloud services Details case studies to demonstrate how generic requirements are met in particular cases

Big Data Handbook

Author: Arzu Barské - Erdogan


ISBN: 1304214478


Page: N.A

View: 8749

Ethics of Big Data

Balancing Risk and Innovation

Author: Kord Davis

Publisher: "O'Reilly Media, Inc."

ISBN: 1449357490

Category: Computers

Page: 82

View: 4128

What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices. Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue—as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you’ll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders. Review your data-handling practices and examine whether they reflect core organizational values Express coherent and consistent positions on your organization’s use of big data Define tactical plans to close gaps between values and practices—and discover how to maintain alignment as conditions change over time Maintain a balance between the benefits of innovation and the risks of unintended consequences

Information Granularity, Big Data, and Computational Intelligence

Author: Witold Pedrycz,Shyi-Ming Chen

Publisher: Springer

ISBN: 331908254X

Category: Computers

Page: 444

View: 9977

The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data. This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of researchers and practitioners including those active in various disciplines in which big data, their analysis and optimization are of genuine relevance. One focal point is the systematic exposure of the concepts, design methodology, and detailed algorithms. In general, the volume adheres to the top-down strategy starting with the concepts and motivation and then proceeding with the detailed design that materializes in specific algorithms and representative applications. The material is self-contained and provides the reader with all necessary prerequisites and augments some parts with a step-by-step explanation of more advanced concepts supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible.

Microsoft Big Data Solutions

Author: Adam Jorgensen,James Rowland-Jones,John Welch,Dan Clark,Christopher Price,Brian Mitchell

Publisher: John Wiley & Sons

ISBN: 1118729552

Category: Computers

Page: 408

View: 8293

Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all, it helps you integrate these new solutions with technologies you already know, such as SQL Server and Hadoop. Walks you through how to integrate Big Data solutions in your company using Microsoft's HDInsight Server, HortonWorks Data Platform for Windows, and open source tools Explores both on-premises and cloud-based solutions Shows how to store, manage, analyze, and share Big Data through the enterprise Covers topics such as Microsoft's approach to Big Data, installing and configuring HortonWorks Data Platform for Windows, integrating Big Data with SQL Server, visualizing data with Microsoft and HortonWorks BI tools, and more Helps you build and execute a Big Data plan Includes contributions from the Microsoft and HortonWorks Big Data product teams If you need a detailed roadmap for designing and implementing a fully deployed Big Data solution, you'll want Microsoft Big Data Solutions.