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Data Engineering for DataDriven Marketing HARDBACK 9781836623274
Data Engineering for DataDriven Marketing HARDBACK 9781836623274
Data Engineering for DataDriven Marketing HARDBACK 9781836623274
Data Engineering for DataDriven Marketing HARDBACK 9781836623274
Data Engineering for DataDriven Marketing HARDBACK 9781836623274
Data Engineering for DataDriven Marketing HARDBACK 9781836623274
Data Engineering for DataDriven Marketing HARDBACK 9781836623274
Data Engineering for DataDriven Marketing HARDBACK 9781836623274
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Data Engineering for DataDriven Marketing HARDBACK 9781836623274

Unlock the power of data for your marketing strategies with "Data Engineering for Data-Driven Marketing." This comprehensive hardback guide, authored by Balamurugan and Baluswamy from Shiv Nadar University, India, provides essential insights and practical techniques for leveraging data engineering to achieve data-driven marketing success. Learn how to build robust data pipelines, manage complex datasets, and extract actionable insights to optimize your marketing campaigns. Ideal for marketers, data analysts, and business professionals looking to harness the full potential of their data. This book covers key concepts in data engineering specifically tailored for marketing applications, enabling you to make more informed decisions and drive measurable results. Key topics include: - Data architecture for marketing - Data collection and processing - Building predictive models for marketing - Data visualization and reporting - Case studies in data-driven marketing Data Engineering for Data-Driven Marketing by Emerald Publishing Limited, Balamurugan, Baluswamy, Shiv Nadar University, India, Hardback, Marketing, Data Analysis, Business Intelligence.

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Data Engineering for DataDriven Marketing HARDBACK 9781836623274

Unlock the power of data for your marketing strategies with "Data Engineering for Data-Driven Marketing." This comprehensive hardback guide, authored by Balamurugan and Baluswamy from Shiv Nadar University, India, provides essential insights and practical techniques for leveraging data engineering to achieve data-driven marketing success. Learn how to build robust data pipelines, manage complex datasets, and extract actionable insights to optimize your marketing campaigns. Ideal for marketers, data analysts, and business professionals looking to harness the full potential of their data. This book covers key concepts in data engineering specifically tailored for marketing applications, enabling you to make more informed decisions and drive measurable results. Key topics include: - Data architecture for marketing - Data collection and processing - Building predictive models for marketing - Data visualization and reporting - Case studies in data-driven marketing Data Engineering for Data-Driven Marketing by Emerald Publishing Limited, Balamurugan, Baluswamy, Shiv Nadar University, India, Hardback, Marketing, Data Analysis, Business Intelligence.

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Unlock the power of data for your marketing strategies with "Data Engineering for Data-Driven Marketing." This comprehensive hardback guide, authored by Balamurugan and Baluswamy from Shiv Nadar University, India, provides essential insights and practical techniques for leveraging data engineering to achieve data-driven marketing success. Learn how to build robust data pipelines, manage complex datasets, and extract actionable insights to optimize your marketing campaigns. Ideal for marketers, data analysts, and business professionals looking to harness the full potential of their data. This book covers key concepts in data engineering specifically tailored for marketing applications, enabling you to make more informed decisions and drive measurable results. Key topics include: - Data architecture for marketing - Data collection and processing - Building predictive models for marketing - Data visualization and reporting - Case studies in data-driven marketing Data Engineering for Data-Driven Marketing by Emerald Publishing Limited, Balamurugan, Baluswamy, Shiv Nadar University, India, Hardback, Marketing, Data Analysis, Business Intelligence.

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