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Big Data MBA

Book Description

Integrate big data into business to drive competitive advantage and sustainable success

Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce.

Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity.

  • Understand where and how to leverage big data
  • Integrate analytics into everyday operations
  • Structure your organization to drive analytic insights
  • Optimize processes, uncover opportunities, and stand out from the rest
  • Help business stakeholders to “think like a data scientist”
  • Understand appropriate business application of different analytic techniques

If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.

Table of Contents

  1. Introduction
    1. Overview of the Book and Technology
    2. How This Book Is Organized
    3. Who Should Read This Book
    4. Tools You Will Need
    5. What's on the Website
    6. What This Means for You
  2. Part I: Business Potential of Big Data
    1. Chapter 1: The Big Data Business Mandate
      1. Big Data MBA Introduction
      2. Focus Big Data on Driving Competitive Differentiation
      3. Critical Importance of “Thinking Differently”
      4. Summary
      5. Homework Assignment
      6. Notes
    2. Chapter 2: Big Data Business Model Maturity Index
      1. Introducing the Big Data Business Model Maturity Index
      2. Big Data Business Model Maturity Index Lessons Learned
      3. Summary
      4. Homework Assignment
    3. Chapter 3: The Big Data Strategy Document
      1. Establishing Common Business Terminology
      2. Introducing the Big Data Strategy Document
      3. Introducing the Prioritization Matrix
      4. Using the Big Data Strategy Document to Win the World Series
      5. Summary
      6. Homework Assignment
      7. Notes
    4. Chapter 4: The Importance of the User Experience
      1. The Unintelligent User Experience
      2. Consumer Case Study: Improve Customer Engagement
      3. Business Case Study: Enable Frontline Employees
      4. B2B Case Study: Make the Channel More Effective
      5. Summary
      6. Homework Assignment
  3. Part II: Data Science
    1. Chapter 5: Differences Between Business Intelligence and Data Science
      1. What Is Data Science?
      2. The Analyst Characteristics Are Different
      3. The Analytic Approaches Are Different
      4. The Data Models Are Different
      5. The View of the Business Is Different
      6. Summary
      7. Homework Assignment
      8. Notes
    2. Chapter 6: Data Science 101
      1. Data Science Case Study Setup
      2. Fundamental Exploratory Analytics
      3. Analytic Algorithms and Models
      4. Summary
      5. Homework Assignment
      6. Notes
    3. Chapter 7: The Data Lake
      1. Introduction to the Data Lake
      2. Characteristics of a Business-Ready Data Lake
      3. Using the Data Lake to Cross the Analytics Chasm
      4. Modernize Your Data and Analytics Environment
      5. Analytics Hub and Spoke Analytics Architecture
      6. Early Learnings
      7. What Does the Future Hold?
      8. Summary
      9. Homework Assignment
      10. Notes
  4. Part III: Data Science for Business Stakeholders
    1. Chapter 8: Thinking Like a Data Scientist
      1. The Process of Thinking Like a Data Scientist
      2. Summary
      3. Homework Assignment
      4. Notes
    2. Chapter 9: “By” Analysis Technique
      1. “By” Analysis Introduction
      2. “By” Analysis Exercise
      3. Foot Locker Use Case “By” Analysis
      4. Summary
      5. Homework Assignment
      6. Notes
    3. Chapter 10: Score Development Technique
      1. Definition of a Score
      2. FICO Score Example
      3. Other Industry Score Examples
      4. LeBron James Exercise Continued
      5. Foot Locker Example Continued
      6. Summary
      7. Homework Assignment
      8. Notes
    4. Chapter 11: Monetization Exercise
      1. Fitness Tracker Monetization Example
      2. Summary
      3. Homework Assignment
      4. Notes
    5. Chapter 12: Metamorphosis Exercise
      1. Business Metamorphosis Review
      2. Business Metamorphosis Exercise
      3. Business Metamorphosis in Health Care
      4. Summary
      5. Homework Assignment
      6. Notes
  5. Part IV: Building Cross-Organizational Support
    1. Chapter 13: Power of Envisioning
      1. Envisioning: Fueling Creative Thinking
      2. The Prioritization Matrix
      3. Summary
      4. Homework Assignment
      5. Notes
    2. Chapter 14: Organizational Ramifications
      1. Chief Data Monetization Officer
      2. Privacy, Trust, and Decision Governance
      3. Unleashing Organizational Creativity
      4. Summary
      5. Homework Assignment
      6. Notes
    3. Chapter 15: Stories
      1. Customer and Employee Analytics
      2. Product and Device Analytics
      3. Network and Operational Analytics
      4. Characteristics of a Good Business Story
      5. Summary
      6. Homework Assignment
      7. Notes
  6. End User License Agreement
  7. End User License Agreement