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Procurement analyticsdata-driven decision-making in procurement and supply management /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Procurement analyticsby Christian Mandl.
Reminder of title:	data-driven decision-making in procurement and supply management /
Author:	Mandl, Christian.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xiv, 268 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Industrial procurement.
Online resource:	https://doi.org/10.1007/978-3-031-43281-1
ISBN:	9783031432811$q(electronic bk.)

Procurement analyticsdata-driven decision-making in procurement and supply management /
Mandl, Christian.

Procurement analyticsdata-driven decision-making in procurement and supply management /[electronic resource] :by Christian Mandl. - Cham :Springer Nature Switzerland :2023. - xiv, 268 p. :ill. (some col.), digital ;24 cm. - Springer series in supply chain management,v. 222365-6409 ;. - Springer series in supply chain management ;v.1..

Introduction -- Fundamentals of Data Analytics -- Data-driven spend management- Data-driven supplier management -- Data-driven inventory management -- Data-driven risk management -- Conclusions.

This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data analytics, artificial intelligence, and operations research can successfully be leveraged to reduce cost and risk and to achieve resilience and sustainability goals. The book provides a methods-based overview of data-driven optimization of purchasing decisions. Besides presenting key concepts and applications, it particularly focuses on implementation, so as to help (future) procurement managers and data scientists quickly evaluate the value generated by a given data-driven solution. What sets this textbook apart is its combination of rigorous, state-of-the-art methodologies from academic research and first-hand experience from various application-oriented consulting projects in a range of industries. Though primarily intended for graduate students with a major in procurement and supply chain management, the book will also benefit purchasing managers with and without specific knowledge of advanced analytics techniques, and data scientists with and without specific experience in procurement.

ISBN: 9783031432811$q(electronic bk.)

Standard No.: 10.1007/978-3-031-43281-1doiSubjects--Topical Terms:

192135
Industrial procurement.

LC Class. No.: HD39.5

Dewey Class. No.: 658.72

Procurement analyticsdata-driven decision-making in procurement and supply management /
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