資料來源: Google Book
Big data analytics[electronic resource] :applications in business and marketing
- 作者: Chaudhary, Kiran.
- 其他作者: Alam, Mansaf.
- 出版: Boca Raton, FL : CRC Press 2022.
- 版本: 1st ed.
- 稽核項: 1 online resource (256 p.).
- 標題: Business , Business Data processing. , Marketing , Big data. , Data processing. , Marketing Data processing.
- ISBN: 1000523578 , 9781000523577
- ISBN: 9781032187662 , 9781032007885
- 試查全文@TNUA:
- 附註: Includes bibliographical references.
- 摘要: "Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.taylorfrancis.com/books/9781003175711
- 系統號: 005330604
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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. The book 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 the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and of consumer behavior. The book concludes with digital marketing, marketing by consumer analytics, web analytics for digital 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.
來源: Google Book
來源: Google Book
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