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Marketing Analytics, 2ed
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Overview of Marketing Analytics, 2ed Book
| Title | Marketing Analytics, 2ed |
| Author | Seema Gupta, Avadhoot Jathar |
| ISBN-13 | 9789373320489 |
| Publication | WILEY |
Marketing Analytics offers students, educators, and practitioners a practical guide to applying statistical, machine learning, and generative AI models to marketing decisions. The book serves as a unified reference for key marketing areas such as branding, product development, pricing, marketing mix, and customer journey. It addresses decision-making challenges across several industries, including CPG, hospitality and restaurants, e-commerce, retail, and entertainment. The text highlights trade-offs in inference based on industry-specific data, data limitations, and regulatory norms governing data usage. The book demonstrates use cases with models built using Microsoft Excel, R, and Python—three widely used tools in the analytics industry. In addition, the second edition introduces data visualization as a means of communicating insights and inferences, featuring Microsoft Power BI. Overall, the book provides a comprehensive introduction to making marketing decisions through data and analytics.
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Overview of Marketing Analytics, 2ed Book
Marketing Analytics offers students, educators, and practitioners a practical guide to applying statistical, machine learning, and generative AI models to marketing decisions. The book serves as a unified reference for key marketing areas such as branding, product development, pricing, marketing mix, and customer journey. It addresses decision-making challenges across several industries, including CPG, hospitality and restaurants, e-commerce, retail, and entertainment. The text highlights trade-offs in inference based on industry-specific data, data limitations, and regulatory norms governing data usage. The book demonstrates use cases with models built using Microsoft Excel, R, and Python—three widely used tools in the analytics industry. In addition, the second edition introduces data visualization as a means of communicating insights and inferences, featuring Microsoft Power BI. Overall, the book provides a comprehensive introduction to making marketing decisions through data and analytics.
Book Type :
Marketing
Book Binding :
Not Available
Language :
English
No. of Pages :
546 Pages
ISBN - 10 :
9373320483
ISBN - 13 :
9789373320489
Marketing Analytics, 2ed Published On :
8 December 2025
Publisher :
Wiley
Edition :
Not Available
About Seema Gupta, Avadhoot Jathar:
Seema Gupta, Avadhoot Jathar is the author of Marketing Analytics, 2ed.
Disclaimer:
- Marketing Analytics, 2ed book is not for reading online or for free download in PDF or eBook format.
- Table of Contents, Index, Syllabus, summary and image of Marketing Analytics, 2ed may be of a different edition or of the same title.
- Price can change due to reprinting, price change by publisher or sourcing cost change for imported books.
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Overview of Marketing Analytics, 2ed Book
| Title | Marketing Analytics, 2ed |
| Author | Seema Gupta, Avadhoot Jathar |
| ISBN-13 | 9789373320489 |
| Publication | WILEY |
Marketing Analytics offers students, educators, and practitioners a practical guide to applying statistical, machine learning, and generative AI models to marketing decisions. The book serves as a unified reference for key marketing areas such as branding, product development, pricing, marketing mix, and customer journey. It addresses decision-making challenges across several industries, including CPG, hospitality and restaurants, e-commerce, retail, and entertainment. The text highlights trade-offs in inference based on industry-specific data, data limitations, and regulatory norms governing data usage. The book demonstrates use cases with models built using Microsoft Excel, R, and Python—three widely used tools in the analytics industry. In addition, the second edition introduces data visualization as a means of communicating insights and inferences, featuring Microsoft Power BI. Overall, the book provides a comprehensive introduction to making marketing decisions through data and analytics.