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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.
- Sales Rank: #478663 in Books
- Published on: 2014-06-08
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x 1.00" w x 6.30" l, 1.10 pounds
- Binding: Hardcover
- 272 pages
From the Back Cover
Your Complete Blueprint for Using Big Data to Transform Your Supply Chain
Big Data offers powerful opportunities to improve performance throughout the supply chain, but many companies have yet to fully leverage it. Some don’t know where to start. Others are implementing uncoordinated point solutions that deliver disappointing results.
This guide presents a comprehensive five-step framework for making the most of Big Data throughout any supply chain. You’ll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, and dissolving organizational boundaries to more effectively sense demand.
Dr. Nada Sanders shows how to overcome key obstacles to making the most of Big Data in your supply chain, and drive more value from data you’re already generating. Using these techniques, you can achieve greater visibility, optimize sales channels, sharpen strategy, and launch more successful new ventures.
• Powerfully impact all four supply chain levers
Use Big Data to improve the way you sell, make, move, and buy
• Link and optimize your entire supply chain system
Go beyond “fragments”: capture benefits ranging from operations to marketing
• Establish the right focus, strategy, and culture
Overcome interrelated technology, people, and process obstacles to success
• Guide the transformational changes you need
Lead the shift to data-driven, evidence-based supply chain decision-making
• Learn from pioneering analytics experts at Amazon, Dell, Walmart, and UPS
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.
Most helpful customer reviews
1 of 1 people found the following review helpful.
and (2) examples of best practices from industry pioneers in the use of Big ...
By SustainabilityNow
Professor Sanders' book is a pioneering effort to integrate Big Data Analytics into the most important business function in today's global economy: supply chain management (SCM). I would say there are two main contributions of this book: (1) foundational conceptual architecture in a new field, and (2) examples of best practices from industry pioneers in the use of Big Data. The fifth star is to applaud Sanders' clear writing style that makes a potentially difficult and technical subject easy to digest and entertaining to read.
(1) This book provides a practical, easy-to-apply Road Map that organizes big data applications around each of the supply chain levers. In short, this enables businesses to optimize supply chains, which decreases risks and costs, while improving strategic positioning and profit margins. It would appear that businesses are missing huge opportunities if they don't integrate Big Data into supply chain management. Unfortunately, most of what has been written about Big Data is focused on the retail, marketing, and software side, and ignores the major practical issue of how to exploit the vast amount of information generated by all of the relevant parties in a supply chain. Sanders is breaking new ground here, as it seems that this is the first book to integrate Big Data into supply chain management.
(2) One of the things I appreciate about an author is when they back up normative claims, like "you should do this, but not that," with concrete illustrations that prove the prudence of the advice. This book contains a wealth of examples, illustrations, and insights from industry pioneers in Big Data applications, all organized around the conceptual framework introduced by Sanders. For the first time, we can see the entire spectrum of Big Data applications presented in detail, from process to product, supplier to customer. Every principle of best practice is supported with examples from recognized companies, bolstering the business case for Big Data driven supply chain management. These examples provide readers with plenty of practical take-aways that can stimulate innovation at home.
0 of 0 people found the following review helpful.
Useful book for SCM people
By Madeleine E. Pullman
The book has lots of great examples of companies using data analytics for SCM. It's a bit repetitive at times but the framework is good and the book is structured around that framework which makes it easy to use in our class.
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