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Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence (FT Press Analytics) Hardcover – 29 May 2014

5.0 out of 5 stars 1 customer review

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Product details

  • Hardcover: 272 pages
  • Publisher: Pearson FT Press; 01 edition (29 May 2014)
  • Language: English
  • ISBN-10: 0133801284
  • ISBN-13: 978-0133801286
  • Product Dimensions: 16 x 2.5 x 23.1 cm
  • Average Customer Review: 5.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: 248,930 in Books (See Top 100 in Books)
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Product description

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.

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19 January 2018
Format: Hardcover
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Amazon.com: 3.2 out of 5 stars 3 reviews
Madeleine E. Pullman
4.0 out of 5 starsUseful book for SCM people
30 September 2014 - Published on Amazon.com
Format: Hardcover|Verified Purchase
Eric K Esajian
1.0 out of 5 starsDon't waste your money
30 November 2016 - Published on Amazon.com
Format: Hardcover|Verified Purchase
2 people found this helpful.
5.0 out of 5 starsand (2) examples of best practices from industry pioneers in the use of Big ...
6 July 2014 - Published on Amazon.com
Format: Hardcover
One person found this helpful.
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