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Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Taschenbuch. Zustand: Neu. Neuware -Earlier, the software industries followed intense traditional software processes to prepare software. But as the time passes by, everything changed. Withstanding the requirements changes or clients requests with the traditional software process is difficult. For this reason, many software industries have moved from traditional to agile software process. Agile has the ability to adapt to frequently changing requirements in which prioritization of these requirements plays a major role. The analysis aims to fulfill the gaps while prioritizing requirements. The literature survey gave an idea about the existing methods in prioritizing requirements and their gaps. Some of the existing methods are MoSCoW, Validated Learning, Business Value base, Walking Skeleton. The above methods had their own approach for prioritizing the requirements, but they were not able to resolve the Stakeholder Conflict (the stakeholder opinion). The extensive survey ended up in discovering approaches which can include Stakeholder Conflict. The work is done in four different contexts. They are: WhaleRank optimization based Ranking, Improved Scrum through Staging priority and Cyclomatic Complexity.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch.

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Hardback. Zustand: New. 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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Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Zustand: Neu. Neuware - 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.

Hardcover. Zustand: Brand New. 292 pages. 9.01x5.98x9.00 inches. In Stock.

Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardback. Zustand: New. 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.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Earlier, the software industries followed intense traditional software processes to prepare software. But as the time passes by, everything changed. Withstanding the requirements changes or clients requests with the traditional software process is difficult. For this reason, many software industries have moved from traditional to agile software process. Agile has the ability to adapt to frequently changing requirements in which prioritization of these requirements plays a major role. The analysis aims to fulfill the gaps while prioritizing requirements. The literature survey gave an idea about the existing methods in prioritizing requirements and their gaps. Some of the existing methods are MoSCoW, Validated Learning, Business Value base, Walking Skeleton. The above methods had their own approach for prioritizing the requirements, but they were not able to resolve the Stakeholder Conflict (the stakeholder opinion). The extensive survey ended up in discovering approaches which can include Stakeholder Conflict. The work is done in four different contexts. They are: WhaleRank optimization based Ranking, Improved Scrum through Staging priority and Cyclomatic Complexity. 148 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Earlier, the software industries followed intense traditional software processes to prepare software. But as the time passes by, everything changed. Withstanding the requirements changes or clients requests with the traditional software process is difficult.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Earlier, the software industries followed intense traditional software processes to prepare software. But as the time passes by, everything changed. Withstanding the requirements changes or clients requests with the traditional software process is difficult. For this reason, many software industries have moved from traditional to agile software process. Agile has the ability to adapt to frequently changing requirements in which prioritization of these requirements plays a major role. The analysis aims to fulfill the gaps while prioritizing requirements. The literature survey gave an idea about the existing methods in prioritizing requirements and their gaps. Some of the existing methods are MoSCoW, Validated Learning, Business Value base, Walking Skeleton. The above methods had their own approach for prioritizing the requirements, but they were not able to resolve the Stakeholder Conflict (the stakeholder opinion). The extensive survey ended up in discovering approaches which can include Stakeholder Conflict. The work is done in four different contexts. They are: WhaleRank optimization based Ranking, Improved Scrum through Staging priority and Cyclomatic Complexity.

Hardcover. Zustand: Brand New. 292 pages. 9.01x5.98x9.00 inches. In Stock. This item is printed on demand.