Essentials of marketing analytics / Joseph F. Hair, Jr., Dana E. Harrison, and Haya Ajjan
Material type:
TextPublisher: Dubuque : McGraw Hill Education, 2022Edition: International Student EditionDescription: xviii, 462 pages : color illustrations ; 26 cmContent type: - text
- unmediated
- volume
- 9781260597745
- HF 5415.2 H35 2022
| Item type | Current library | Shelving location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Book
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TUP Manila Library | Graduate Program Section-2F | GS HF 5415.124 H35 2022 (Browse shelf(Opens below)) | Available | P00034027 |
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| GS HF 5415.13 W48 2019 How to write a marketing plan : define your strategy, plan effectively and reach your marketing goals / | GS HF 5415.15 P76 2017 Product management / | GS HF 5415.32 C66 2022 Consumer behaviour : applications in marketing/ | GS HF 5415.124 H35 2022 Essentials of marketing analytics / | GS HF 5415.1265 C43 2022 Digital Marketing: Strategy, implementation and practice / | GS HF 5415.1265 C66 2022 Contemporary issues in digital marketing / | GS HF 5415.1265 H36 2022 Digital marketing : strategic planning & integration/ |
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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