Social Media Analytics

Techniques and Insights for Extracting Business Value Out of Social Media

Author: Matthew Ganis,Avinash Kohirkar

Publisher: IBM Press

ISBN: 0133892948

Category: Business & Economics

Page: 350

View: 1831

Transform Raw Social Media Data into Real Competitive Advantage There’s real competitive advantage buried in today’s deluge of social media data. If you know how to analyze it, you can increase your relevance to customers, establishing yourself as a trusted supplier in a cutthroat environment where consumers rely more than ever on “public opinion” about your products, services, and experiences. Social Media Analytics is the complete insider’s guide for all executives and marketing analysts who want to answer mission-critical questions and maximize the business value of their social media data. Two leaders of IBM’s pioneering Social Media Analysis Initiative offer thorough and practical coverage of the entire process: identifying the right unstructured data, analyzing it, and interpreting and acting on the knowledge you gain. Their expert guidance, practical tools, and detailed examples will help you learn more from all your social media conversations, and avoid pitfalls that can lead to costly mistakes. You’ll learn how to: Focus on the questions that social media data can realistically answer Determine which information is actually useful to you—and which isn’t Cleanse data to find and remove inaccuracies Create data models that accurately represent your data and lead to more useful answers Use historical data to validate hypotheses faster, so you don’t waste time Identify trends and use them to improve predictions Drive value “on-the-fly” from real-time/ near-real-time and ad hoc analyses Analyze text, a.k.a. “data at rest” Recognize subtle interrelationships that impact business performance Improve the accuracy of your sentiment analyses Determine eminence, and distinguish “talkers” from true influencers Optimize decisions about marketing and advertising spend Whether you’re a marketer, analyst, manager, or technologist, you’ll learn how to use social media data to compete more effectively, respond more rapidly, predict more successfully…grow profits, and keep them growing.

Data Science Thinking

The Next Scientific, Technological and Economic Revolution

Author: Longbing Cao

Publisher: Springer

ISBN: 3319950924

Category: Computers

Page: 390

View: 9670

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective. The topics cover an extremely wide spectrum of essential and relevant aspects of data science, spanning its evolution, concepts, thinking, challenges, discipline, and foundation, all the way to industrialization, profession, education, and the vast array of opportunities that data science offers. The book's three parts each detail layers of these different aspects. The book is intended for decision-makers, data managers (e.g., analytics portfolio managers, business analytics managers, chief data analytics officers, chief data scientists, and chief data officers), policy makers, management and decision strategists, research leaders, and educators who are responsible for pursuing new scientific, innovation, and industrial transformation agendas, enterprise strategic planning, a next-generation profession-oriented course development, as well as those who are involved in data science, technology, and economy from an advanced perspective. Research students in data science-related courses and disciplines will find the book useful for positing their innovative scientific journey, planning their unique and promising career, and competing within and being ready for the next generation of science, technology, and economy.

Social Media ROI

Messen Sie den Erfolg Ihrer Marketing-Kampagne

Author: Olivier Blanchard

Publisher: N.A

ISBN: 9783827331113

Category:

Page: 356

View: 4685

Social Media Analytics: Effective Tools for Building, Interpreting, and Using Metrics

Author: Marshall Sponder

Publisher: McGraw Hill Professional

ISBN: 0071768629

Category: Business & Economics

Page: 320

View: 2416

Align Strategy With Metrics Using Social Monitoring Best Practices “Two or three years from now, every public relations firm that wants to be taken seriously in the C-suite and/or a lead marketing role will have someone like Marshall in its senior leadership ranks, a chief analytics officer responsible for ensuring that account leaders think more deeply about analytics and that thfirm works with the best available outside suppliers to integrate analytics appropriately.” —Paul Holmes, The Holmes Report “Marshall has provided much-needed discipline to our newest marketing frontier—a territory full of outlaws, medicine men, dot com tumbleweeds, and snake oil.” —Ryan Rasmussen, VP Research, Zócalo Group “Marshall Sponder stands apart from the crowd with this work. His case study approach, borne of real-world experience, provides the expert and the amateur alike with bibliography, tools, links, and examples to shortcut the path to bedrock successes. This is a reference work for anyone who wants to explore the potential of social networks.” —W. Reid Cornwell, Ph.D., Chief Scientist, The Center for Internet Research “Marshall is a solutions design genius of unparalleled knowledge and acumen, and when he applies himself to the business of social media, the result is a timely and important commentary on the state of research capabilities for social media.” —Barry Fleming, Director, Analytics & Insights, WCG, and Principal, DharmaBuilt.com About the Book Practically overnight, social media has become a critical tool for every marketing objective—from outreach and customer relations to branding and crisis management. For the most part, however, the data collected through social media is just that: data. It usually seems to hold little or no meaning on which to base business decisions. But the meaning is there . . . if you’re applying the right systems and know how to use them. With Social Media Analytics, you’ll learn how to get supremely valuable information from this revolutionary new marketing tool. One of the most respected leaders in his field and a pioneer in Web analytics, Marshall Sponder shows how to: Choose the best social media platforms for your needs Set up the right processes to achieve your goals Extract the hidden meaning from all the data you collect Quantify your results and determine ROI Filled with in-depth case studies from a range of industries, along with detailed reviews of several social-monitoring platforms, Social Media Analytics takes you beyond “up-to-date” and leads you well into the future—and far ahead of your competition. You will learn how to use the most sophisticated methods yet known to find customers, create relevant content (and track it), mash up data from disparate sources, and much more. Sponder concludes with an insightful look at where the field will likely be going during the next few years. Whether your social media marketing efforts are directed at B2B, B2C, C2C, nonprofit, corporate, or public sector aims, take them to the next step with the techniques, strategies, and methods in Social Media Analytics—the most in-depth, forward-looking book on the subject.

big data @ work

Chancen erkennen, Risiken verstehen

Author: Thomas H. Davenport

Publisher: Vahlen

ISBN: 3800648156

Category: Fiction

Page: 214

View: 5500

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.

Cloud Computing and Big Data

Author: C. Catlett,W. Gentzsch,L. Grandinetti

Publisher: IOS Press

ISBN: 161499322X

Category: Computers

Page: 264

View: 5611

Cloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the limitations imposed by accessibility, security and communication speed, before these advantages can be exploited to the full. This book presents 14 contributions selected from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in June 2012. The papers are arranged in three chapters. Chapter 1 includes five papers on cloud infrastructures, while Chapter 2 discusses cloud applications. The third chapter in the book deals with big data, which is nothing new – large scientific organizations have been collecting large amounts of data for decades – but what is new is that the focus has now broadened to include sectors such as business analytics, financial analyses, Internet service providers, oil and gas, medicine, automotive and a host of others. This book will be of interest to all those whose work involves them with aspects of cloud computing and big data applications.

Win with Advanced Business Analytics

Creating Business Value from Your Data

Author: Jean-Paul Isson,Jesse Harriott

Publisher: John Wiley & Sons

ISBN: 1118417089

Category: Business & Economics

Page: 416

View: 1378

Plain English guidance for strategic business analytics and bigdata implementation In today's challenging economy, business analytics and big datahave become more and more ubiquitous. While some businesses don'teven know where to start, others are struggling to move from beyondbasic reporting. In some instances management and executives do notsee the value of analytics or have a clear understanding ofbusiness analytics vision mandate and benefits. Win withAdvanced Analytics focuses on integrating multiple types ofintelligence, such as web analytics, customer feedback, competitiveintelligence, customer behavior, and industry intelligence intoyour business practice. Provides the essential concept and framework to implementbusiness analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big dataintelligence into your business Companies now operate on a global scale and are inundated with alarge volume of data from multiple locations and sources: B2B data,B2C data, traffic data, transactional data, third party vendordata, macroeconomic data, etc. Packed with case studies frommultiple countries across a variety of industries, Win withAdvanced Analytics provides a comprehensive framework andapplications of how to leverage business analytics/big data tooutpace the competition.

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: 375

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.

Encyclopedia of Computer Science and Technology

Author: Phillip A. Laplante

Publisher: CRC Press

ISBN: 1351652494

Category: Computers

Page: 1500

View: 1540

With breadth and depth of coverage, the Encyclopedia of Computer Science and Technology, Second Edition has a multi-disciplinary scope, drawing together comprehensive coverage of the inter-related aspects of computer science and technology. The topics covered in this encyclopedia include: General and reference Hardware Computer systems organization Networks Software and its engineering Theory of computation Mathematics of computing Information systems Security and privacy Human-centered computing Computing methodologies Applied computing Professional issues Leading figures in the history of computer science The encyclopedia is structured according to the ACM Computing Classification System (CCS), first published in 1988 but subsequently revised in 2012. This classification system is the most comprehensive and is considered the de facto ontological framework for the computing field. The encyclopedia brings together the information and historical context that students, practicing professionals, researchers, and academicians need to have a strong and solid foundation in all aspects of computer science and technology.

Beyond Big Data

Using Social MDM to Drive Deep Customer Insight

Author: Martin Oberhofer,Eberhard Hechler,Ivan Milman,Scott Schumacher,Dan Wolfson

Publisher: IBM Press

ISBN: 0133509818

Category: Computers

Page: 272

View: 7865

Drive Powerful Business Value by Extending MDM to Social, Mobile, Local, and Transactional Data Enterprises have long relied on Master Data Management (MDM) to improve customer-related processes. But MDM was designed primarily for structured data. Today, crucial information is increasingly captured in unstructured, transactional, and social formats: from tweets and Facebook posts to call center transcripts. Even with tools like Hadoop, extracting usable insight is difficult—often, because it’s so difficult to integrate new and legacy data sources. In Beyond Big Data, five of IBM’s leading data management experts introduce powerful new ways to integrate social, mobile, location, and traditional data. Drawing on pioneering experience with IBM’s enterprise customers, they show how Social MDM can help you deepen relationships, improve prospect targeting, and fully engage customers through mobile channels. Business leaders and practitioners will discover powerful new ways to combine social and master data to improve performance and uncover new opportunities. Architects and other technical leaders will find a complete reference architecture, in-depth coverage of relevant technologies and use cases, and domain-specific best practices for their own projects. Coverage Includes How Social MDM extends fundamental MDM concepts and techniques Architecting Social MDM: components, functions, layers, and interactions Identifying high value relationships: person to product and person to organization Mapping Social MDM architecture to specific products and technologies Using Social MDM to create more compelling customer experiences Accelerating your transition to highly-targeted, contextual marketing Incorporating mobile data to improve employee productivity Avoiding privacy and ethical pitfalls throughout your ecosystem Previewing Semantic MDM and other emerging trends

Data mining

praktische Werkzeuge und Techniken für das maschinelle Lernen

Author: Ian H. Witten,Eibe Frank

Publisher: N.A

ISBN: 9783446215337

Category:

Page: 386

View: 7741

Freakonomics

überraschende Antworten auf alltägliche Lebensfragen ; [warum wohnen Drogenhändler bei ihren Müttern? Führt mehr Polizei zu weniger Kriminalität? Sind Swimmingpools gefährlicher als Revolver? Macht gute Erziehung glücklich?]

Author: Steven D. Levitt,Stephen J. Dubner

Publisher: N.A

ISBN: 9783442154517

Category:

Page: 411

View: 3308

Sind Swimmingpools gefährlicher als Revolver? Warum betrügen Lehrer? Der preisgekrönte Wirtschaftswissenschaftler Steven D. Levitt kombiniert Statistiken, deren Zusammenführung und Gegenüberstellung auf den ersten Blick absurd erscheint, durch seine Analysetechnik aber zu zahlreichen Aha-Effekten führt. Ein äußerst unterhaltsamer Streifzug durch die Mysterien des Alltags, der uns schmunzeln lässt und stets über eindimensionales Denken hinausführt.

Wettbewerbsstrategie

Methoden zur Analyse von Branchen und Konkurrenten

Author: Michael E. Porter

Publisher: Campus Verlag

ISBN: 3593398443

Category: Business & Economics

Page: 486

View: 1814

Seit 30 Jahren ist Michael E. Porters Buch zur Wettbewerbsstrategie der Klassiker zum Thema und Pflichtlektüre für Führungskräfte. Schritt für Schritt entwickelt der Autor alle Instrumente, die ein Manager für die Branchenanalyse benötigt. Seine Ausführungen erklären die grundlegenden Kräfte des brancheninternen Wettbewerbs. Fundiert und praxisnah stellt er konkrete Methoden zur Analyse von Branchen vor. Diese 12. Auflage ist vollständig durchgesehen, aktualisiert und erweitert.

Wem gehört die Zukunft?

"Du bist nicht der Kunde der Internetkonzerne. Du bist ihr Produkt."

Author: Jaron Lanier

Publisher: Hoffmann und Campe

ISBN: 3455851134

Category: Political Science

Page: 464

View: 3936

"Du bist nicht der Kunde der Internetkonzerne. Du bist ihr Produkt." Spätestens seit den Enthüllungen des Whistleblowers Edward Snowden ist klar: Die "schöne neue Welt" nimmt Gestalt an, und es wird höchste Zeit, ihr etwas entgegenzusetzen. Internetpionier und Cyberguru Jaron Lanier liefert eine profunde Analyse der aktuellen Trends in der Netzwerkökonomie, die sich in Richtung Totalüberwachung und Ausbeutung der Massen bewegt. Der Bestseller aus den USA endlich auf Deutsch!

The Second Machine Age

Wie die nächste digitale Revolution unser aller Leben verändern wird

Author: Erik Brynjolfsson,Andrew McAfee

Publisher: Plassen Verlag

ISBN: 3864702224

Category: Political Science

Page: 368

View: 5821

Computer sind mittlerweile so intelligent geworden, dass die nächste industrielle Revolution unmittelbar bevorsteht. Wer profitiert, wer verliert? Antworten auf diese Fragen bietet das neue Buch der Technologie-Profis Erik Brynjolfsson und Andrew McAfee. Seit Jahren arbeiten wir mit Computern - und Computer für uns. Mittlerweile sind die Maschinen so intelligent geworden, dass sie zu Leistungen fähig sind, die vor Kurzem noch undenkbar waren: Sie fahren Auto, sie schreiben eigene Texte - und sie besiegen Großmeister im Schach. Dieser Entwicklungssprung ist nur der Anfang. In ihrem neuen Buch zeigen zwei renommierte Professoren, welch atemberaubende Entwicklungen uns noch bevorstehen: Die zweite industrielle Revolution kommt! Welche Auswirkungen wird das haben? Welche Chancen winken, welche Risiken drohen? Was geschieht dabei mit den Menschen, was mit der Umwelt? Und was werden Gesellschaft und Politik tun, um die Auswirkungen dieser "neuen digitalen Intelligenz" für alle bestmöglich zu gestalten? Dieses Buch nimmt Sie mit auf eine Reise in eine Zukunft, die schon längst begonnen hat.

Commercial Data Mining

Processing, Analysis and Modeling for Predictive Analytics Projects

Author: David Nettleton

Publisher: Elsevier

ISBN: 012416658X

Category: Computers

Page: 304

View: 8459

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levels Includes practical examples and case studies as well as actionable business insights from author's own experience

Die Web 2.0-Strategie

Author: Amy Shuen

Publisher: O'Reilly Germany

ISBN: 3897218666

Category: Computer software

Page: 149

View: 3782

Data Science für Dummies

Author: Lillian Pierson

Publisher: John Wiley & Sons

ISBN: 352780675X

Category: Mathematics

Page: 382

View: 4360

Daten, Daten, Daten? Sie haben schon Kenntnisse in Excel und Statistik, wissen aber noch nicht, wie all die Datensätze helfen sollen, bessere Entscheidungen zu treffen? Von Lillian Pierson bekommen Sie das dafür notwendige Handwerkszeug: Bauen Sie Ihre Kenntnisse in Statistik, Programmierung und Visualisierung aus. Nutzen Sie Python, R, SQL, Excel und KNIME. Zahlreiche Beispiele veranschaulichen die vorgestellten Methoden und Techniken. So können Sie die Erkenntnisse dieses Buches auf Ihre Daten übertragen und aus deren Analyse unmittelbare Schlüsse und Konsequenzen ziehen.

IBM SPSS Modeler Cookbook

Author: Keith McCormick,Dean Abbott,Meta S. Brown

Publisher: Packt Pub Limited

ISBN: 9781849685467

Category: Computers

Page: 382

View: 6260

This is a practical cookbook with intermediate-advanced recipes for SPSS Modeler data analysts. It is loaded with step-by-step examples explaining the process followed by the experts.If you have had some hands-on experience with IBM SPSS Modeler and now want to go deeper and take more control over your data mining process, this is the guide for you. It is ideal for practitioners who want to break into advanced analytics.