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Business analytics and decision making in practiceproceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Business analytics and decision making in practiceedited by Ali Emrouznejad ...[et al.].
Reminder of title:	proceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE /
remainder title:	ICBAP 2024
other author:	Emrouznejad, Ali.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	ix, 403 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BusinessCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-031-61589-4
ISBN:	9783031615894$q(electronic bk.)

Business analytics and decision making in practiceproceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE /
Business analytics and decision making in practiceproceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE /[electronic resource] :ICBAP 2024edited by Ali Emrouznejad ...[et al.]. - Cham :Springer Nature Switzerland :2024. - ix, 403 p. :ill. (some col.), digital ;24 cm. - Lecture notes in operations research,2731-0418. - Lecture notes in operations research..

This book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8-11, 2024, at the University of Sharjah, UAE. The book presents advanced modeling and examples to explore the practical applications of business analytics across various industries and domains. In addition, it dives deep into the world of data-driven decision-making, showcasing real-world case studies and best practices to illustrate how organizations can harness the power of analytics to optimize their decision-making processes. From descriptive analytics to predictive modeling and prescriptive analytics, readers will gain valuable insights into the different techniques and methodologies employed in business analytics.

ISBN: 9783031615894$q(electronic bk.)

Standard No.: 10.1007/978-3-031-61589-4doiSubjects--Topical Terms:

443284
Business
--Data processing--Congresses.

LC Class. No.: HF5548.2

Dewey Class. No.: 650.0285

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