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Full 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.
Contents
PART IChapter 1 A Game Changer 31.1 Big Data Basics 51.2 What Is Different? 101.3 What Does It Mean? 131.4 Transformations 181.5 Data-Driven Supply Chains 21Chapter 2 Transforming Supply Chains 232.1 Across the Entire Supply Chain 242.2 The Supply Chain System 252.3 From Sourcing to Sales 302.4 Coordinated and Integrated 362.5 The Intelligent Supply Chain 37Chapter 3 Barriers to Implementation 433.1 Why Isn't Everyone Doing It? 433.2 The Barriers 463.3 Breaking Ahead of the Pack 56Chapter 4 Impact on "Sell" 614.1 Driving the Supply Chain 624.2 All About the Customer 694.3 Price Optimization 754.4 Merchandising 774.5 Location-Based Marketing 784.6 The Whole Bundle 81Chapter 5 Impact on "Make" 855.1 Making the Things We Sell 865.2 Product Design and Innovation 935.3 Improving the Production Process 985.4 The Digital Factory 1035.5 Make Connects the Value Chain 106Chapter 6 Impact on "Move" 1096.1 Moving the Things We Sell 1106.2 How Big Data Impacts Move 1186.3 Integrating Logistics Activities 129Chapter 7 Impact on "Buy" 1317.1 Big Data and Buy 1327.2 How Much Do You Need? 1387.3 Outsourcing 1437.4 Risk Management 147PART III: THE FRAMEWORK 153Chapter 8 The Roadmap 1558.1 Lessons 1568.2 Doing It Right 1588.3 How It Works 1628.4 Breaking Down Segmentation 1648.5 Strategic Alignment 1678.6 The Importance of Measuring 1718.7 The Journey 176Chapter 9 Making It Work 1819.1 Strategy Sets the Direction 1819.2 The Building Blocks 1869.3 Following the Maturity Map 1959.4 Sales & Operations Planning (S&OP) 2009.5 People Making Decisions with Data 207Chapter 10 Leading Organizational Change 20910.1 Transformation Required 21010.2 The Four-Step Change Process 21510.3 Leadership 225Endnotes 229Index 249Your complete blueprint for using Big Data to transform your entire supply chain - and uncover breakthrough sources of competitive advantage.
