Data Engineering for Data-Driven Marketing

Balamurugan Baluswamy

ISBN 10: 1836623275 / ISBN 13: 9781836623274

Editore: Emerald Publishing Limited, GB, 2025

Riguardo questo articolo

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.

Codice articolo LU-9781836623274

Dati bibliografici

• Titolo: Data Engineering for Data-Driven Marketing
• Editore: Emerald Publishing Limited, GB
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1836623275
• ISBN 13: 9781836623274
• Rilegatura: Hardback
• Condizione: New
• Peso: 666 grammi

Descrizione articolo

Riassunto

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.