Big Data Driven Supply Chain Management A

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.

NADA R. SANDERS (Bethlehem, PA)holds the Iacocca Chair in the Department of Management at Lehigh University. She has an international reputation as an expert in forecasting and supply chain management; is author of Supply Chain Management: A Global Perspective; and co-authored Operations Management, now in its 5th edition. She was ranked in the top 8 percent of individuals in the field of operations management from a pool of 738 authors and 237 schools by a study of research productivity in U.S. business schools. Dr. Sanders is a Fellow of the Decision Sciences Institute, and has served on the Board of Directors of the International Institute of Forecasters (IIF), Decision Sciences Institute (DSI), and the Production Operations Management Society (POMS). She also co-founded and served as Associate Editor of Foresight, a journal of the International Institute of Forecasters. Dr. Sanders has extensive consulting and executive training experience, is frequently called upon as an expert witness on forecasting, regularly keynotes leading forecasting events, and was selected in 2008 to join The Gordon Cook Conversations at Windsor Castle, a conference that brings together top leaders from around the globe seen as 'stars' in their fields.

Part I: 'Big' Data Driven Supply Chains

1. 'Big' Data Driven Supply Chains

2. The Transformative Potential for Supply Chain Management

3. Hurdles of Implementation

Part II: Impact on Supply Chain Levers

5. Marketing: Impact on "Sell"

6. Operations: Impact on "Make"

7. Logistics: Impact on "Move"

8. Sourcing: Impact on "Sourcing"

Part III: The Framework

9. The Five-Step Framework

10. Aligning the Pieces

Part IV: Executing

10. Making it Work: From Strategy to Implementation

11. Conclusion: Evolving with Technology

Your complete blueprint for using Big Data to transform your entire supply chain — and uncover breakthrough sources of competitive advantage.

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

Summary

Author Biography

Table of Contents

Supplemental Materials