Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence (FT Press Analytics)
Author | : | |
Rating | : | 4.24 (881 Votes) |
Asin | : | 0133801284 |
Format Type | : | paperback |
Number of Pages | : | 272 Pages |
Publish Date | : | 2017-03-15 |
Language | : | English |
DESCRIPTION:
SustainabilityNow said and ("and (2) examples of best practices from industry pioneers in the use of Big" according to 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 sty. ) examples of best practices from industry pioneers in the use of Big. 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 ("and (2) examples of best practices from industry pioneers in the use of Big" according to 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 sty. ) examples of best practices from industry pioneers in the use of Big Data. The fifth star is to applaud Sanders' clear writing sty
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. Nada is a Fellow of the Decision Sciences Institute, and has served on the Board of Directors of the International In
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. 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 transformationa
Using Big Data, pioneers such as , UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. 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. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.. 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. 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