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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| Other Authors | , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Bingley, U.K. :
Emerald Publishing Limited,
2025.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781836623281 |
| DOI | 10.1108/9781836623267 |
| Physical Description | 1 online resource (272 pages) |
Cover
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| 245 | 0 | 0 | |a Data engineering for data-driven marketing / |c edited by Balamurugan Balusamy (Shiv Nadar University, Delhi-NCR Campus, Noida, India), Veena Grover (Noida Institute of Engineering and Technology, Greater Noida, India), M. K. Nallakaruppan (Balaji Institute of Modern Management, Sri Balaji University, India) (and 3 others). |
| 264 | 1 | |a Bingley, U.K. : |b Emerald Publishing Limited, |c 2025. | |
| 264 | 4 | |c ©2025 | |
| 300 | |a 1 online resource (272 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a MarketingData processing. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Balusamy, Balamurugan, |e editor. | |
| 700 | 1 | |a Grover, Veena, |e editor. | |
| 700 | 1 | |a Nallakaruppan, M. K., |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 9781836623274 |
| 776 | 0 | 8 | |i PDF version: |z 9781836623267 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/9781836623267 |