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دانشجوعلاقه‌مند یادگیری
کتابخوان حرفه‌ایلذت مطالعه
نویسندهالهام‌گیری

Big Data Analytics : Digital Marketing and Decision-Making

Kiran Chaudhary, Mansaf Alam

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تحویل فوری
پرداخت امن
ضمانت فایل
پشتیبانی

مشخصات کتاب

سال انتشار
۲۰۲۲
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱۲٫۱ مگابایت
شابک
9781000755619، 9781000755787، 9781003307761، 9781032310305، 9781032310442، 1000755614، 1000755789، 1003307760، 1032310308، 1032310448

دربارهٔ کتاب

## Preface Big Data Analytics: Digital Marketing and Decision-Making focuses on digital marketing and analytics for decision making. This book explores the concept and applications related to digital marketing decision-making. Besides this, it shall also provide future research directions in digital marketing. It is a promising field of research that can be possibly helpful to understand the concept of digital marketing and help in strategic decision-making. This book also helps to enhance the knowledge related to the various concepts of data analytics used in digital marketing. The use of data analytics tools can get better decision-making abilities. This book consists of ten chapters. Chapter 1 is related to the marketing mode and survival of the entrepreneurial activities of nascent entrepreneurs. Chapter 2 deals with the responsibility of big data analytics in organizational decision-making. Chapter 3 focuses on the decision-making model for medical diagnosis based on some new interval neutrosophic hamacher power choquet integral operators. Chapter 4 describes the concept related to the prediction of marketing by consumer analytics. Chapter 5 deals with web analytics for digital marketing. Chapter 6 includes innovative retailing, a novel approach for retailing business. Chapter 7 focuses on leveraging web analytics for optimizing digital marketing strategies. Chapter 8 is related to smart retailing in digital business. Chapter 9 is based on business analytics and performance management in India. Chapter 10 deals with parameterized fuzzy measures decision-making model based on preference leveled evaluation functions for best signal detection in intelligent antenna. This book includes diverse topics related to digital marketing analytics and decision-making, which helps businesses to increase their profits and wealth by making better decisions on time using data analytics. This book is meant for research scholars, practitioners, industry professionals, researchers, and faculty working in commerce, digital marketing, big data analytics, and comprehensive solutions to organizational decision-making. Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics. Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes. The use of data analytics tools can be used to improve and speed decision-making processes.Chapters examining analytics for decision-making cover such topics as: Big data analytics for gathering business intelligence Data analytics and consumer behavior The role of big data analytics in organizational decision-making This book also looks at digital marketing and focuses on such areas as: The prediction of marketing by consumer analytics Web analytics for digital marketing Smart retailing Leveraging web analytics for optimizing digital marketing strategies Big Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics. It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making. Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics. Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes. The use of data analytics tools can be used to improve and speed decision-making processes. Chapters examining analytics for decision-making cover such topics as: Big data analytics for gathering business intelligence Data analytics and consumer behavior The role of big data analytics in organizational decision-making This book also looks at digital marketing and focuses on such areas as: The prediction of marketing by consumer analytics Web analytics for digital marketing Smart retailing Leveraging web analytics for optimizing digital marketing strategies Big Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics. It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making Cover Half Title Title Page Copyright Page Contents List of Figures List of Tables Preface About the Editors Contributors Chapter 1: Marketing Mode and Survival of the Entrepreneurial Activities of Nascent Entrepreneurs Chapter 2: The Responsibility of Big Data Analytics in Organization Decision-Making Chapter 3: Decision-Making Model for Medical Diagnosis Based on Some New Interval Neutrosophic Hamacher Power Choquet Integral Operators Chapter 4: Prediction of Marketing by the Consumer Analytics Chapter 5: Web Analytics for Digital Marketing Chapter 6: Smart Retailing: A Novel Approach for Retailing Business Chapter 7: Leveraging Web Analytics for Optimizing Digital Marketing Strategies Chapter 8: Smart Retailing in Digital Business Chapter 9: Business Analytics and Performance Management in India Chapter 10: Parameterized Fuzzy Measures Decision-Making Model Based on Preference Leveled Evaluation Functions for Best Signal Detection in Smart Antenna Index "This book includes various topics related to marketing and business analytics. It is written to help organizations increase their profits by making better decisions. This book is meant for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce, marketing, and big data analytics"-- Provided by publisher

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