Marketing Analytics and Data Science Tools and Models

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This textbook demonstrates the application of recent advancements in data science to address various marketing issues. It provides a unique framework for transforming marketing problems into data science problems, which is a crucial first step that is often overlooked in books that focus solely on data analytical tools. It also emphasizes the intuitive understanding of the analytical tools and data science methodologies, in addition to presenting their limitations and best use cases. Students will learn why certain data science tools work well for particular marketing problems, while others may not. Finally, it explores how to translate the insights gained from…

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SKU: GYDHUOT3851177741420
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Description

This textbook demonstrates the application of recent advancements in data science to address various marketing issues. It provides a unique framework for transforming marketing problems into data science problems, which is a crucial first step that is often overlooked in books that focus solely on data analytical tools. It also emphasizes the intuitive understanding of the analytical tools and data science methodologies, in addition to presenting their limitations and best use cases. Students will learn why certain data science tools work well for particular marketing problems, while others may not. Finally, it explores how to translate the insights gained from these analytics tools into business decisions and how they can be used to inform the final decisions related to critical business questions. Blending technical fields such as statistics, econometrics, and machine learning with business areas like marketing and customer understanding, this textbook provides solutions to various marketing and customer-centered questions using data analytical models and techniques, with each chapter covering a specific type of question. It will helps upper-level marketing student understand the technical aspects of data science in a way that is relevant and applicable to their future careers.

Langue
en
Version
Broché
Date de sortie initiale
19 mai 2026
Nombre de pages
233
Illustrations
Avec illustrations

Personnes impliquées

Auteur principal

Xiaojing Dong

Editeur principal

Palgrave Macmillan

Deuxième édition

Springer-Verlag Gmbh

Informations sur le fabricant

Nom du fabricant
Springer Nature Customer Service Center GmbH
Adresse du fabricant
– 69115 – – DE
Adresse électronique du fabricant
ProductSafety@springernature.com
Informations sur le fabricant
Les autres informations du fabricant ne sont actuellement pas disponibles

Autres spécifications

Hauteur de l’emballage
14 mm
Largeur d’emballage
155 mm
Largeur du produit
155 mm
Livre d‘étude
Non
Longueur d’emballage
235 mm
Longueur du produit
235 mm

EAN

EAN
9783032111296

Sécurité des produits

Opérateur économique responsable dans l’UE

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Catégories

Ordinateurs et Informatique

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Bases de données

Étude de marché

Livres

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Livre

Disponibilité

Disponible à l’adresse suivante

Langue

Anglais

Type de livre

Paperback

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