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Data Mining and Market Intelligence [electronic resource] : Implications for Decision Making / by Mustapha Akinkunmi.

By: Akinkunmi, Mustapha [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XXII, 159 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031793905.Subject(s): Engineering design | Materials | Professional education | Vocational education | Engineering Design | Materials Engineering | Professional and Vocational EducationAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620.0042 Online resources: Click here to access online
Contents:
Foreword -- Preface -- Acknowledgments -- Acronyms -- Introduction to Market Intelligence -- The Market Research Process -- Qualitative Techniques -- Quantitative Techniques -- Hypothesis Testing and Regression Analysis -- Analyzing Survey Data -- Index Methodology -- Digital Media Monitoring, Measurement, and Modeling -- Causal Methods -- Mobile Data Mining -- Bibliography -- Author's Biography.
In: Springer Nature eBookSummary: This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining. Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.
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Foreword -- Preface -- Acknowledgments -- Acronyms -- Introduction to Market Intelligence -- The Market Research Process -- Qualitative Techniques -- Quantitative Techniques -- Hypothesis Testing and Regression Analysis -- Analyzing Survey Data -- Index Methodology -- Digital Media Monitoring, Measurement, and Modeling -- Causal Methods -- Mobile Data Mining -- Bibliography -- Author's Biography.

This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining. Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.

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