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Full Description
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.
Contents
Chapter 1. Exploring AI in Data Driven Marketing: Understanding the Intersection of Data Engineering and Marketing; Sonal Trivedi, Veena Grover, and Balamurugan Balusamy
Chapter 2. Architecting for Success: Designing Robust Data Infrastructures to Power Data-Driven Marketing Campaigns; Siva Karthikeyan Krishnan, Kumaravel Ponnusamy, and Kanav Sharma
Chapter 3. AI in Data-Driven Marketing: Decoding Consumer Choices and Behaviors; Valliappan Raju, KK Ramachandran, Wang Chenxi, Mangairkarasi V, and Zdenka Konecna
Chapter 4. Ingesting Insights: Data Ingestion Strategies and Techniques for Marketing Data; Veena Grover and Purnima Pal
Chapter 5. Mastering Data Transformation: Preparing Marketing Data for Actionable Insights; Channi Sachdeva, Veena Grover, Amandeep Kaur, and Veer P Gangwar
Chapter 6. Seamless Data Flow: Constructing End-to-End Data Pipelines for Real-Time Marketing Analytics; Anitha K, Anitha A, Preetha S, and Annie Sam
Chapter 7. Crafting Customer Profiles: Data Engineering for Comprehensive Customer Understanding; Anuradha Chakraborty, Soumendra Roy, and Amit Sarkar
Chapter 8. Empowering Personalized Marketing: Leveraging Data Engineering for Customer Segmentation; Veena Grover, Mahima Dogra, Divya Sahu, and Manju Nandal
Chapter 9. Quality Assurance in Marketing Data: Ensuring Accuracy and Reliability; Arvind Nath Sinha, Vibha Srivastava, and Kashvi Sinha
Chapter 10. Integrating Marketing Data Ecosystems: Merging Diverse Data Sources for Holistic Insights; Rubina Gill, Pankaj Raj Kumar, Mastu Patel, and Harmesh Kumar
Chapter 11. Data Security in the Age of Marketing: Safeguarding Customer Information and Compliance; M. K. Nallakaruppan, Ansh Pethani, and Danilo Pelusi
Chapter 12. Harnessing AI and ML for Marketing: Integrating Advanced Analytics into Data-Driven Strategies; M. K. Nallakaruppan, Francesco Benedetto, and Mridul Jain
Chapter 13. Ethics and Privacy in Data-Driven Marketing: Navigating Legal and Ethical Considerations in the Age of Big Data; Manisha Singh and Fatima Qasim Hasan
Chapter 14. Unlocking the Potential of Data Lakes: Organizing and Storing Marketing Data for Analysis; Magesh R, Ilakkiyaa U, Shanthini R, and Charanya R
Chapter 15. Optimizing Outcomes: Professional Perspectives on Data-Driven Marketing Mastery; Aditya Prasad, Tejasv Rastogi, Trisha Paul, Utkarsh Tyagi, and Francesco Benedetto
