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

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

          
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About the Book

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:
PART I:  “BIG” DATA DRIVEN SUPPLY CHAINS   1 Chapter 1  A Game Changer   3    1.1 Big Data Basics   5    1.2 What Is Different?   10    1.3 What Does It Mean?   13    1.4 Transformations   18    1.5 Data-Driven Supply Chains   21 Chapter 2  Transforming Supply Chains   23    2.1 Across the Entire Supply Chain   24    2.2 The Supply Chain System   25    2.3 From Sourcing to Sales   30    2.4 Coordinated and Integrated   36    2.5 The Intelligent Supply Chain   37 Chapter 3 Barriers to Implementation   43    3.1 Why Isn’t Everyone Doing It?   43    3.2 The Barriers   46    3.3 Breaking Ahead of the Pack   56 PART II:  IMPACT ON SUPPLY CHAIN LEVERS   59 Chapter 4  Impact on “Sell”   61    4.1 Driving the Supply Chain   62    4.2 All About the Customer   69    4.3 Price Optimization   75    4.4 Merchandising   77    4.5 Location-Based Marketing   78    4.6 The Whole Bundle   81 Chapter 5  Impact on “Make”   85    5.1 Making the Things We Sell   86    5.2 Product Design and Innovation   93    5.3 Improving the Production Process   98    5.4 The Digital Factory   103    5.5 Make Connects the Value Chain   106 Chapter 6  Impact on “Move”   109    6.1 Moving the Things We Sell   110    6.2 How Big Data Impacts Move   118    6.3 Integrating Logistics Activities   129 Chapter 7  Impact on “Buy”   131    7.1 Big Data and Buy   132    7.2 How Much Do You Need?   138    7.3 Outsourcing   143    7.4 Risk Management   147 PART III:  THE FRAMEWORK   153 Chapter 8  The Roadmap   155    8.1 Lessons   156    8.2 Doing It Right   158    8.3 How It Works   162    8.4 Breaking Down Segmentation   164    8.5 Strategic Alignment   167    8.6 The Importance of Measuring   171    8.7 The Journey   176 Chapter 9  Making It Work   181    9.1 Strategy Sets the Direction   181    9.2 The Building Blocks   186    9.3 Following the Maturity Map   195    9.4 Sales & Operations Planning (S&OP)   200    9.5 People Making Decisions with Data   207 Chapter 10  Leading Organizational Change   209    10.1 Transformation Required   210    10.2 The Four-Step Change Process   215    10.3 Leadership   225 Endnotes   229 Index   249 Your complete blueprint for using Big Data to transform your entire supply chain — and uncover breakthrough sources of competitive advantage.


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Product Details
  • ISBN-13: 9780133801286
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson FT Press
  • Depth: 19
  • Language: English
  • Returnable: N
  • Spine Width: 20 mm
  • Weight: 499 gr
  • ISBN-10: 0133801284
  • Publisher Date: 12 Aug 2014
  • Binding: Hardback
  • Height: 229 mm
  • No of Pages: 272
  • Series Title: Hardcover
  • Sub Title: A Framework for Implementing Analytics and Turning Information Into Intelligence
  • Width: 152 mm


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