Big Data Analytics : Applications in Business and Marketing, Hardcover by Cha...-image

Big Data Analytics : Applications in Business and Marketing, Hardcover by Cha...

$ 69.0

Topic: Commerce Illustrator: Yes Book Title: Big Data Analytics Author: Mansaf Alam, Kiran Chaudhary Publisher: CRC Press LLC Language: English Publication Year: 2022 Format: Hardcover ISBN: 9781032007885 Genre: Business & Economics gtin13: 9781032007885

Description

Big Data Analytics : Applications in Business and Marketing, Hardcover by Chaudhary, Kiran; Alam, Mansaf, ISBN 1032007885, ISBN-13 9781032007885, Like New Used, Free shipping in the US Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and marketing analytics can create value through proper allocation of resources and resource orchestration process. The use of data analytics tools can be used to diagnose and improve performance. Th is divided into five parts. The first part introduces data science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market intelligence The third part looks at business intelligence and features an evaluation study of churn prediction models for business Intelligence. The fourth part of th examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and of consumer behavior. Th concludes with marketing, marketing by consumer analytics, web analytics for marketing, and smart retailing. This book covers the concepts, applications and research trends of marketing and business analytics with the aim of helping organizations increase profitability by improving decision-making through data analytics.

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  2. As pictured / as described. Shipping - I ordered Dec 12 and glanced to see something like "Arrives ... 17th-21st", quickly thinking, "OK - plenty of time for Christmas". When it didn't show up, I went back to find it was actually "January 14th-17th" - oops! my goof! Wasn't expecting 5 week shipping. But ultimately, it did come in on Dec 26th, so quicker than the stated and might have been even quicker if not for holidays. Otherwise, good packing. Quick, easy transaction. Thanks!

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