Big Data Driven Supply Chain Management: A Framework for

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

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 deliveryâ€¦ 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 chainÂ â€” 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.

Country	USA
Author	Nada R. Sanders
Binding	Kindle Edition
Edition	1
EISBN	9780133762822
Format	Kindle eBook
Label	Pearson FT Press
Manufacturer	Pearson FT Press
NumberOfPages	264
PublicationDate	2014-05-07
Publisher	Pearson FT Press
ReleaseDate	2014-05-07
Studio	Pearson FT Press

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

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