ISBN-10:
0133801284
ISBN-13:
2900133801285
Pub. Date:
06/24/2014
Publisher:
Pearson FT Press
Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence / Edition 1

Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence / Edition 1

by Nada Sanders

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Overview

Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence / Edition 1

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.

Product Details

ISBN-13: 2900133801285
Publisher: Pearson FT Press
Publication date: 06/24/2014
Series: FT Press Operations Management Series
Pages: 280
Product dimensions: 6.40(w) x 9.10(h) x 1.00(d)

About the Author

Nada R. Sanders, Ph.D., is Distinguished Professor of Supply Chain Management at the D’Amore-McKim School of Business at Northeastern University, and she holds a Ph.D. from the Ohio State University. She is an internationally recognized thought leader and expert in forecasting and supply chain management. She is author of the book Supply Chain Management: A Global Perspective and is coauthor of the book Operations Management, 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 different schools by a study of research productivity in U.S. business schools. Nada 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). Her research focuses on the most effective ways for organizations to use technology to achieve a competitive advantage.

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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