Big Data: Understanding How Data Powers Big Business

Big Data: Understanding How Data Powers Big Business

by Bill Schmarzo
Released October 2013
Publisher(s): Wiley
ISBN: 9781118739570

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Book description

Leverage big data to add value to your business

Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value.

Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data.

  • Shows how to decompose current business strategies in order to link big data initiatives to the organization's value creation processes

  • Explores different value creation processes and models

  • Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles

  • Provides methodology worksheets and exercises so readers can apply techniques

  • Includes real-world examples from a variety of organizations leveraging big data

Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.

Table of contents

  1. Cover
  2. Introduction
  3. Chapter 1: The Big Data Business Opportunity
    1. The Business Transformation Imperative
    2. The Big Data Business Model Maturity Index
    3. Big Data Business Model Maturity Observations
    4. Summary
  4. Chapter 2: Big Data History Lesson
    1. Consumer Package Goods and Retail Industry Pre-1988
    2. Lessons Learned and Applicability to Today's Big Data Movement
    3. Summary
  5. Chapter 3: Business Impact of Big Data
    1. Big Data Impacts: The Questions Business Users Can Answer
    2. Managing Using the Right Metrics
    3. Data Monetization Opportunities
    4. Summary
  6. Chapter 4: Organizational Impact of Big Data
    1. Data Analytics Lifecycle
    2. Data Scientist Roles and Responsibilities
    3. New Organizational Roles
    4. Liberating Organizational Creativity
    5. Summary
  7. Chapter 5: Understanding Decision Theory
    1. Business Intelligence Challenge
    2. The Death of Why
    3. Big Data User Interface Ramifications
    4. The Human Challenge of Decision Making
    5. Summary
  8. Chapter 6: Creating the Big Data Strategy
    1. The Big Data Strategy Document
    2. Starbucks Big Data Strategy Document Example
    3. San Francisco Giants Big Data Strategy Document Example
    4. Summary
  9. Chapter 7: Understanding Your Value Creation Process
    1. Understanding the Big Data Value Creation Drivers
    2. Michael Porter's Valuation Creation Models
    3. Summary
  10. Chapter 8: Big Data User Experience Ramifications
    1. The Unintelligent User Experience
    2. Understanding the Key Decisions to Build a Relevant User Experience
    3. Using Big Data Analytics to Improve Customer Engagement
    4. Uncovering and Leveraging Customer Insights
    5. Big Data Can Power a New Customer Experience
    6. Summary
  11. Chapter 9: Identifying Big Data Use Cases
    1. The Big Data Envisioning Process
    2. The Prioritization Process
    3. Using User Experience Mockups to Fuel the Envisioning Process
    4. Summary
  12. Chapter 10: Solution Engineering
    1. The Solution Engineering Process
    2. Solution Engineering Tomorrow's Business Solutions
    3. Reading an Annual Report
    4. Summary
  13. Chapter 11: Big Data Architectural Ramifications
    1. Big Data: Time for a New Data Architecture
    2. Introducing Big Data Technologies
    3. Bringing Big Data into the Traditional Data Warehouse World
    4. Summary
  14. Chapter 12: Launching Your Big Data Journey
    1. Explosive Data Growth Drives Business Opportunities
    2. Traditional Technologies and Approaches Are Insufficient
    3. The Big Data Business Model Maturity Index
    4. Driving Business and IT Stakeholder Collaboration
    5. Operationalizing Big Data Insights
    6. Big Data Powers the Value Creation Process
    7. Summary
  15. Chapter 13: Call to Action
    1. Identify Your Organization's Key Business Initiatives
    2. Start with Business and IT Stakeholder Collaboration
    3. Formalize Your Envisioning Process
    4. Leverage Mockups to Fuel the Creative Process
    5. Understand Your Technology and Architectural Options
    6. Build off Your Existing Internal Business Processes
    7. Uncover New Monetization Opportunities
    8. Understand the Organizational Ramifications

Product information

  • Title: Big Data: Understanding How Data Powers Big Business
  • Author(s): Bill Schmarzo
  • Release date: October 2013
  • Publisher(s): Wiley
  • ISBN: 9781118739570