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The big data-driven business : how to use big data to win customers, beat competitors, and boost profits /

Get the expert perspective and practical advice on big data The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits makes the case that big data is for real, and more than just big hype. The book uses real-life examples-from Nate Silver to Copernicus,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Glass, Russell, 1976-
Otros Autores: Callahan, Sean, 1965-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Wiley, 2014.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits; Contents; Acknowledgments; Introduction: Why We Wrote This Book, and How It Can Help You; Chapter 1: Big Data, Big Benefits; Chapter 2: The Evolution of the Customer-Focused, Data-Driven Business; Chapter 3: The Evolution of the Buyer's Journey, or How the Internet Killed the Three-Martini Lunch; Chapter 4: The Marketing Stack-Why CMOs and CIOs Are Working Together; The Software in the Stack; Marketing Automation Software; Business Intelligence Databases; CRM Systems.
  • Content Management Systems Blogging Platforms; Data Management Platforms; Analytics Tools; Social Media Management Software; Predictive Lead Scoring; Customer Service/Call Center Software; E-Commerce Platforms; Search Engine Management Platforms; Demand-Side Platform (DSP); Chapter 5: How Technology Bridges the Gap between Marketing and Sales; Technology Brings Harmony between Sales and Marketing at DocuSign; How Bizo Used Data to Boost Marketing-Sales Alignment; Chapter 6: Data and the Rise of Online Advertising; Early Uses of Audience Data; Early Marketing Analytics-Audience Auditing.
  • The Rise of Internet Advertising Ad Networks; Audience Platforms; Online Advertising Exchanges; Retargeted Display Ads; Social Media Advertising's Powerful Leap Forward; How Marketers Are Putting Data on Display; Zend Technologies; Zuora; The LiveAds; Zendesk; Chapter 7: Using Data to Better Understand Customers and Pursue Prospects; Netflix Flexes Its Data Muscle; SaaS and Its Powerful Window on the Customer; The Power of Predictive Lead Modeling; Data Isn't Reserved for Dot-Coms; Chapter 8: The Arrival of Left-Brained Leaders and the Rise of the Marketing Department.
  • Chapter 9: Implementing a Big Data Plan (Sometimes by Thinking Small)Eleven Principles to Follow When Bringing Big Data into Your Business; Focus on the Customer to Determine What Questions You Want Your Data to Answer; It's Big Data, but Start Small; Don't Bet Everything on Technology; Hire the Right People; Maintain Some Control of the Technology Piece; Measure, Measure, and Measure Some More; Stay on Top of Your Data and the Processes Around That Data; Conduct a Data Audit and Strive to Integrate Data Silos; Cooperate with IT, Sales, Human Resources, and Other Stakeholders.
  • Practice Good Data HygieneDevelop a Road Map, but Anticipate Detours; Chapter 10: Measurement, Testing, and Attribution; Data and Measurement; Measuring the Power of Display Ads; Data and Testing; Test No. 1: MyCase; Test No. 2: Better Business Bureau; Data and Attribution; Attribution's Big Day; Chapter 11: Data Can Be a Matter of Corporate Life and Death; The Dead; Digital Equipment Corporation; Blockbuster; Tower Records and Borders; Near-Death Experience; Culture Clash; Missed Opportunity; Whistling Past the Graveyard?; Schadenfreude?; Chapter 12: Using Data Responsibly.