Data engineering for data-driven marketing

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....

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Bibliographic Details
Other Authors Balusamy, Balamurugan (Editor), Grover, Veena (Editor), Nallakaruppan, M. K. (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K. : Emerald Publishing Limited, 2025.
Subjects
MarketingData processing.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781836623281
DOI10.1108/9781836623267
Physical Description1 online resource (272 pages)

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Table of 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.

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