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Essentials of marketing analytics / Joseph F. Hair, Jr., Dana E. Harrison, and Haya Ajjan

By: Contributor(s): Material type: TextTextPublisher: Dubuque : McGraw Hill Education, 2022Edition: International Student EditionDescription: xviii, 462 pages : color illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781260597745
Subject(s): Additional physical formats: Online version:: Essentials of marketing analytics, 1eLOC classification:
  • HF 5415.2 H35 2022
Contents:
ART ONE: OVERVIEW OF MARKETING ANALYTICS AND DATA MANAGEMENTChapter 1: Introduction to Marketing AnalyticsChapter 2: Data Management PART TWO: EXPLORING AND VISUALIZING DATA PATTERNSChapter 3: Exploratory Data Analysis Using Cognitive Analytics Chapter 4: Data VisualizationPART THREE: ANALYTICAL METHODS FOR SUPERVISED LEARNING Chapter 5: Regression Analysis Chapter 6: Neural NetworksChapter 7: Automated Machine LearningPART FOUR: ANALYTICAL METHODS FOR UNSUPERVISED LEARNING Chapter 8: Cluster AnalysisChapter 9: Market Basket Analysis PART FIVE: EMERGING ANALYTICAL APPROACHESChapter 10: Natural Language Processing - Text Mining and Sentiment Analysis Chapter 11: Social Network AnalysisChapter 12: Web Analytics
Summary: "We developed this new book with enthusiasm and great optimism. Marketing analytics is an exciting field to study, and there are numerous emerging opportunities for students at the undergraduate level, and particularly at the master's level. We live in a global, highly competitive, rapidly changing world that is increasingly influenced by digital data, expanded analytical capabilities, information technology, social media, artificial intelligence, and many other recent developments. We believe this book will become the premier source for new and essential knowledge in data analytics, particularly for situations related to marketing decision making that can benefit from marketing analytics, which is likely 80 percent of all challenges faced by organizations"-- Provided by publisher.
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Holdings
Item type Current library Shelving location Call number Status Date due Barcode
Book Book TUP Manila Library Graduate Program Section-2F GS HF 5415.124 H35 2022 (Browse shelf(Opens below)) Available P00034027

Includes index.

ART ONE: OVERVIEW OF MARKETING ANALYTICS AND DATA MANAGEMENTChapter 1: Introduction to Marketing AnalyticsChapter 2: Data Management PART TWO: EXPLORING AND VISUALIZING DATA PATTERNSChapter 3: Exploratory Data Analysis Using Cognitive Analytics Chapter 4: Data VisualizationPART THREE: ANALYTICAL METHODS FOR SUPERVISED LEARNING Chapter 5: Regression Analysis Chapter 6: Neural NetworksChapter 7: Automated Machine LearningPART FOUR: ANALYTICAL METHODS FOR UNSUPERVISED LEARNING Chapter 8: Cluster AnalysisChapter 9: Market Basket Analysis PART FIVE: EMERGING ANALYTICAL APPROACHESChapter 10: Natural Language Processing - Text Mining and Sentiment Analysis Chapter 11: Social Network AnalysisChapter 12: Web Analytics

"We developed this new book with enthusiasm and great optimism. Marketing analytics is an exciting field to study, and there are numerous emerging opportunities for students at the undergraduate level, and particularly at the master's level. We live in a global, highly competitive, rapidly changing world that is increasingly influenced by digital data, expanded analytical capabilities, information technology, social media, artificial intelligence, and many other recent developments. We believe this book will become the premier source for new and essential knowledge in data analytics, particularly for situations related to marketing decision making that can benefit from marketing analytics, which is likely 80 percent of all challenges faced by organizations"-- Provided by publisher.

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