Sanders, Nada R. <br/><br/>
Supply chain analytics :  understanding the business context / 
Nada R. Sanders. 
 - Edition 1.1. 
 - xiii, 296 pages :  illustrations ;  23 cm 
<br/><br/> "This book was previously published by Pearson FT as Big data driven supply chain management: a framework for implementing analytics and turning information into intelligence."--Copyright page.  
<br/><br/>Includes bibliographical references (pages 259-283) and index. 
<br/><br/>Part I. Big data driven supply chain : -- 1. A game changer -- 2. Transforming supply chains -- 3. Barriers to implementation -- Part II. Impact on supply chain levers : -- 4. Impact on "sell" -- 5. Impact on "make" -- 6. Impact on "move" -- 7. Impact on "buy" -- Part III. The framework : -- 8. The roadmap -- 9. Making it work -- 10. Leading organizational change. 
<br/><br/> "This book looks at how big data analytics are applied in supply chain management to create intelligent supply chains. The first section explains what is different in the analytics era. The second section discusses analytics in the context of the supply chain functions (marketing, operations, logistics, and sourcing). The final section focuses on systems and digital transformation. The author draws numerous examples from business practice to show the importance of asking the right questions of data sets. Each chapter opens with a short story, and mini-cases tie the concepts to real-life context."--Publisher's website.  
<br/><br/><label>ISBN: </label>9781943153619 1943153612 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Business logistics.
<br/><br/><label>LC Class. No.: </label>HD38.5  / S26 2019 
<br/><br/><label>Dewey Class. No.: </label>658.7