Data Engineering for Data-Driven Marketing
eBook - ePub

Data Engineering for Data-Driven Marketing

  1. 292 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Engineering for Data-Driven Marketing

About this book

In the digital age, data has become the cornerstone of effective marketing strategies. Data Engineering for Data-Driven Marketing explores the vital intersection of data engineering and marketing, providing a comprehensive guide to harnessing the power of data for successful and impactful campaigns.

Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources. With real-world case studies actionable insights, the chapters within navigate the reader through the intricate process of building robust data pipelines, optimizing data quality, and implementing real-time processing techniques, all tailored to elevate marketing campaigns through precision targeting, customer personalization, and predictive modelling.

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Yes, you can access Data Engineering for Data-Driven Marketing by Balamurugan Balusamy,Veena Grover,M. K. Nallakaruppan,Vijay Anand Rajasekaran,Mariofanna Milanova,Balamurugan Baluswamy in PDF and/or ePUB format, as well as other popular books in Business & Decision Making. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Emerald Publishing Limited
Year
2025
Print ISBN
9781836623274
eBook ISBN
9781836623281
Topic
Business
Subtopic
Decision Making
Index
Business

Table of contents

  1. Cover
  2. Title
  3. Chapter 1. Exploring AI in Data-driven Marketing: Understanding the Intersection of Data Engineering and Marketing
  4. Chapter 2. Architecting for Success: Designing Robust Data Infrastructures to Power Data-driven Marketing Campaigns
  5. Chapter 3. AI in Data-driven Marketing: Decoding Consumer Choices and Behaviours
  6. Chapter 4. Ingesting Insights: Data Ingestion Strategies and Techniques for Marketing Data
  7. Chapter 5. Mastering Data Transformation: Preparing Marketing Data for Actionable Insights
  8. Chapter 6. Seamless Data Flow: Constructing End-to-End Data Pipelines for Real-time Marketing Analytics
  9. Chapter 7. Crafting Customer Profiles: Data Engineering for Comprehensive Customer Understanding
  10. Chapter 8. Empowering Personalized Marketing: Leveraging Data Engineering for Customer Segmentation
  11. Chapter 9. Quality Assurance in Marketing Data: Ensuring Accuracy and Reliability
  12. Chapter 10. Integrating Marketing Data Ecosystems: Merging Diverse Data Sources for Holistic Insights
  13. Chapter 11. Data Security in the Age of Marketing: Safeguarding Customer Information and Compliance
  14. Chapter 12. Harnessing AI and ML for Marketing: Integrating Advanced Analytics Into Data-Driven Strategies
  15. Chapter 13. Ethics and Privacy in Data-driven Marketing: Navigating Legal and Ethical Considerations in the Age of Big Data
  16. Chapter 14. Unlocking the Potential of Data Lakes: Organizing and Storing Marketing Data for Analysis
  17. Chapter 15. Optimizing Outcomes: Professional Perspectives on Data-driven Marketing Mastery