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Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence

Book Description

Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.

Table of Contents

  1. About This eBook
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. Contents
  6. Table of Contents
  7. Foreword
  8. Acknowledgments
  9. About the Author
  10. Part I: “Big” Data Driven Supply Chains
    1. 1. A Game Changer
      1. 1.1 Big Data Basics
      2. 1.2 What Is Different?
      3. 1.3 What Does It Mean?
      4. 1.4 Transformations
      5. 1.5 Data-Driven Supply Chains
    2. 2. Transforming Supply Chains
      1. 2.1 Across the Entire Supply Chain
      2. 2.2 The Supply Chain System
      3. 2.3 From Sourcing to Sales
      4. 2.4 Coordinated and Integrated
      5. 2.5 The Intelligent Supply Chain
    3. 3. Barriers to Implementation
      1. 3.1 Why Isn’t Everyone Doing It?
      2. 3.2 The Barriers
      3. 3.3 Breaking Ahead of the Pack
  11. Part II: Impact on Supply Chain Levers
    1. 4. Impact on “Sell”
      1. 4.1 Driving the Supply Chain
      2. 4.2 All About the Customer
      3. 4.3 Price Optimization
      4. 4.4 Merchandising
      5. 4.5 Location-Based Marketing
      6. 4.6 The Whole Bundle
    2. 5. Impact on “Make”
      1. 5.1 Making the Things We Sell
      2. 5.2 Product Design and Innovation
      3. 5.3 Improving the Production Process
      4. 5.4 The Digital Factory
      5. 5.5 Make Connects the Value Chain
    3. 6. Impact on “Move”
      1. 6.1 Moving the Things We Sell
      2. 6.2 How Big Data Impacts Move
      3. 6.3 Integrating Logistics Activities
    4. 7. Impact on “Buy”
      1. 7.1 Big Data and Buy
      2. 7.2 How Much Do You Need?
      3. 7.3 Outsourcing
      4. 7.4 Risk Management
  12. Part III: The Framework
    1. 8. The Roadmap
      1. 8.1 Lessons
      2. 8.2 Doing It Right
      3. 8.3 How It Works
      4. 8.4 Breaking Down Segmentation
      5. 8.5 Strategic Alignment
      6. 8.6 The Importance of Measuring
      7. 8.7 The Journey
    2. 9. Making It Work
      1. 9.1 Strategy Sets the Direction
      2. 9.2 The Building Blocks
      3. 9.3 Following the Maturity Map
      4. 9.4 Sales & Operations Planning (S&OP)
      5. 9.5 People Making Decisions with Data
    3. 10. Leading Organizational Change
      1. 10.1 Transformation Required
      2. 10.2 The Four-Step Change Process
      3. 10.3 Leadership
    4. Endnotes
      1. Chapter 1
      2. Chapter 2
      3. Chapter 3
      4. Chapter 4
      5. Chapter 5
      6. Chapter 6
      7. Chapter 7
      8. Chapter 8
      9. Chapter 9
      10. Chapter 10
  13. Index