BOOKS - Mastering Marketing Data Science A Comprehensive Guide for Today's Marketers
Mastering Marketing Data Science A Comprehensive Guide for Today
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Mastering Marketing Data Science A Comprehensive Guide for Today's Marketers
Author: Iain Brown
Year: 2024
Format: EPUB
File size: 13.0 MB
Language: ENG



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Mastering Marketing Data Science A Comprehensive Guide for Today's Marketers In today's fast-paced digital world, marketing has become more complex and challenging than ever before. With the advent of new technologies and the abundance of data available, marketers need to stay ahead of the curve to remain relevant and effective. This comprehensive guide provides an in-depth look at the intersection of marketing, data science, and technology, equipping readers with the skills and knowledge necessary to master marketing data science. From understanding consumer behavior to leveraging machine learning algorithms, this book covers it all, offering practical strategies and techniques that can be applied in real-world scenarios. The first section of the book focuses on the fundamentals of marketing data science, including the importance of data-driven decision making, the role of technology in shaping consumer behavior, and the evolution of marketing strategies over time. It also explores the concept of personalization and its impact on customer engagement, as well as the ethical considerations involved in data collection and analysis.
Освоение маркетинговых данных Наука Комплексное руководство для современных маркетологов В современном быстро развивающемся цифровом мире маркетинг стал более сложным и сложным, чем когда-либо прежде. С появлением новых технологий и обилием доступных данных маркетологам необходимо идти на опережение, чтобы оставаться актуальными и эффективными. Это всеобъемлющее руководство дает подробный обзор пересечения маркетинга, науки о данных и технологий, предоставляя читателям навыки и знания, необходимые для освоения науки о маркетинговых данных. От понимания поведения потребителей до использования алгоритмов машинного обучения, эта книга охватывает все это, предлагая практические стратегии и методы, которые могут быть применены в реальных сценариях. Первый раздел книги посвящен основам науки о маркетинговых данных, включая важность принятия решений на основе данных, роль технологий в формировании поведения потребителей и эволюцию маркетинговых стратегий с течением времени. В нем также рассматривается концепция персонализации и ее влияние на взаимодействие с клиентами, а также этические соображения, связанные со сбором и анализом данных.
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