Pages: 21

With the increasing digitalization, consumers nowadays are spending more time and money online. Due to the expansion and growth of consumer, online purchase, and usage data e-commerce companies are facing challenges in managing such a high-volume, high-velocity, and high-variety information sets also known as unstructured or “big data” that are too large and complex to be processed by conventional database management tools. Because of this, big data analytics is becoming more popular in the e-commerce industry (BDA). Big data analytics is a means to get the most value out of these large volumes of data, thereby opening up new market prospects and increasing customer retention rates. A paradigm shift has occurred in the e-commerce sector as a result of the enormous expansion of big data. Data for the study were collected through the literature review of recent articles and online publications and various e-commerce websites were also used. The study indicated that e-commerce marketing professionals can adapt marketing efforts to the demands of each consumer by keeping track of user information like browsing requests and preferences. The study also showed that e-commerce companies are using BDA to improve customers’ experiences by offering them personalized goods and services. However, it is also suggested in this study about privacy and security issues posed by big data, 2necessitating the adoption of appropriate safeguard measures by e-commerce companies to prevent the misuse and improper handling of their users’ data.

Pages: 13

A customer is the pivot around which a business revolves and a catalyst that makes the business going. Customers are of prime importance to every business concern. Therefore, their retention is of vital concern. There is no exaggeration to say that no company can thrive without keeping its customers intact. Business houses are well aware of the fact that it is relatively easy to retain existing customers than to fetch new ones. Retained customers are perceived as a highly useful entity for businesses as they act as a precursor to the most outstanding mode of marketing, that is, word-of-mouth marketing. Out of the available tools for retaining customers, big data analysis is gaining ground in the current scenario. Big data refers to the sets of data which are usually large enough to unveil the pattern or trend that is capable of revealing the behavior of a human when put to computational analysis. Big data analytics have actually armed today’s business leaders to transform themselves in order to cater to their customers in the best possible way. Big data could be used for multiple purposes, such as gaining insights about customer experience, product development, predictive maintenance, fraud and compliance, machine learning, innovation, operational efficiency, etc. The focus of our study is specifically the role of big data in retaining customers.

Pages: 17

Personalization enables customers to tailor products and services to their specific needs and preferences, thereby increasing the perceived value of the products and services to the customer. Personalization encourages customer loyalty by enhancing customer experiences. In modern markets, the Internet is one of the most important ways to reach real and potential buyers of goods and services. During these online interactions between businesses and customers, customers generate a lot of data, which businesses can use to give customers more personalized products and services. Sophisticated tools and techniques are used to analyze big data, allowing businesses to better understand, and in some cases, anticipate the needs of their customers. In this chapter, the authors reviewed the role of bigdata for personalization of products and services. Big data analytics is useful not only for personalizing products and services in e-commerce but also in brick-and-mortar stores. 38Businesses study which products are trending online so that the same products can be promoted in physical stores as well. Customers in the modern era are demanding an ever-increasing level of customization in their products and services that big data plays a crucial role in modern markets by enabling companies to personalize and tailor their products and services to meet the specific needs and preferences of individual customers. By analyzing vast amounts of data, companies can gain valuable insights into consumer behavior, demographics, and preferences, which they can use to create more targeted and effective marketing campaigns, as well as to design and develop products and services that better meet the needs of their customers.

Pages: 15

Segmentation is the process of dividing the market on different basis, such as age, gender, class, cast, or religion. In the era of 20thcentury, only marketer can survive who can understand and implement the concept of segmentation in their product. A single product cannot satisfy the needs of all consumers. So there is a need to divide the markets of consumers on different grounds. The present study is related to the insurance sector, under which, the advantages of segmentation in the insurance sector, challenges, measures, and the future of such industry based on segmentation, etc. have been discussed. For the study purpose data have been gathered from various private and public sector banks as well as from various insurance companies also. Areas including Haryana and Punjab have been covered. To analyze the data, different statistical tools have been used. The analyzed data revealed that there exist different kinds of insurance companies based on segmentation such as accident and health insurance companies, property and casualty companies, errors and omissions insurance companies, and reinsurance companies, as well as there are a lot of advantages of segmentation for the insurance industry such as it helps to identify the target customers, identify new market opportunities, optimize marketing campaigns and increase customer retention rate, etc. At the end, it has been concluded that segmentation performs an exuberant and vivacious role in the insurance sector and the future of such an industry is going to be very bright and glaring in next few years.

Pages: 15

E-commerce companies with tightly integrated big data analytics applications rate their customer experience offering at 4.34 on a Likert scale of 1 to 5, whereas others rate their customer shopping experience metrics at 3.62. That is a 20% difference in the customer shopping experience for respondents with tightly integrated big data analytics applications. For many e-commerce companies, improving the shopping experience is just a matter of changing corporate culture and adding desire for customers. However, there is a less discussed area that no amount of culture can replace, that is, big data analytics. Indeed, big data analytics, done right, is the secret element that allows e-commerce companies to create the customer shopping experience edge in a scalable and low-cost way that works not only for a few customers but for millions of customers profitably and sustainably. In this chapter, the author discusses the importance of developing intimate knowledge and understanding of big data analytics for achieving a customer shopping experience edge for e-commerce companies.

Pages: 17

The biggest challenge of strategic communication, especially in the era of digitalization, is the dark side of media as well as digital platforms, that is, fake news, fake information, fraudulent practices, rumors, propaganda, and distorted information. The blatant lies associated with marketing, especially in post-truth scenarios, are related with fake news, untrue and misleading claims made by the business houses or marketers or the imitators prevalent in the market. This chapter aims at defining the concept of post-truth and its relevance for marketers in order to make counter strategies to deal with bullshit, which can help in turn to devise strategies for customer retention. Fake news and the prevalence of the highest form of distorted information are the negative aspects of big data, which expands at a very great speed and takes the shape of an infodemic and has the capability of putting people into illusions. But on the other hand, it can also act as a strong tool to counter such information. A timely action about any kind of misinformation spread about their brand can only help to curb the more drastic situation of disinformation. In this post-truth era, the antidote will be to direct customers toward official channels, broadcasts, and social media platforms of the company from time 88to time. An extra effort will be required to make customers aware about the reliable sources of communication based on facts. Big data and artificially intelligent solutions can play a decisive role in countering and dealing with the excessive flow of misinformation as well as disinformation.

Pages: 12

Customers are increasingly performing their activities through digital channels as a result of technical improvements, which also enable marketers to collect enormous amounts of data about consumers, store it, and use it as they see fit. Despite the significance of big data analytics for company marketing, there is little research on this topic. Another is creating future plans that take into account their requirements. In light of this, several tools and techniques have been developed to facilitate the process. These methods include observation, data collection, and analysis, among others. However, the more data you have, the more difficult it will be to manage, and eventually it will exceed human capabilities. This is why we adore big data. Big data enables organizations to comprehend the unmet needs and expectations of customers and achieve long-term commercial success. It is the solution to all of these problems. Truely, this technology is still undergoing development and refinement, but Artificial Intelligence (AI) plays a crucial role in its realization. They have a reciprocal interaction with one another. AI is required to give meaning to big data’s information, while big data is required to increase AI’s intelligence. Given the four properties of big data—volume, velocity, variety, and veracity—that can lead to more precise data analysis, the use of big data in digital marketing can have a significant influence.

Pages: 23

The examination of customer service using big data is a novel method. It seamlessly derives important results from a massive hill of irrelevant information, helping companies increase consumer satisfaction and retention rates. Big data is used in revenue forecasts which identifies customer– buying behavior and trends. The forecast helps to project the market trend and pattern. Utilizing promotions and other actions to raise the likelihood that a client would purchase your products or services again is known as customer retention. Approximately a 25% rise in earnings is produced with just a 5% improvement in client retention. Big data analysis determines the individual’s prejudices of prior customers based on all their actions. Big data is an innovative technology. It is not only about technical prowess and artistic flair but also about utilizing technology to facilitate people’s fulfillment of their aspirations. By employing big data analytics, firms should be able to effectively explore new trends, connect to buyers in unique and unexpected ways, and, most significantly, use several diversified choices to enhance customer interaction in this hypercompetitive period. This study describes the numerous ways in which big data is meant to improve customer retention. So, this chapter examines how successful big data is for customer retention in business.

Pages: 16

performs a significant job in business organizations. Therefore, customer plays a major role in the organization’s activities and decision-making procedures of the companies. For maintaining better customer relationship management (CRM) big data analytics (BDA) is a key requisite for organizations. In this chapter, we are presenting the procedures to recognize the CRM of various industries, a variety of research of big data analytics (BDA), different statistics pulling out techniques, and big data methodical formation that can be used in CRM. This chapter also describes recent uses of big data in relation to CRM, as well as their drawbacks and potential applications. To acquire, store, and analyze big data, new tools, and techniques are needed. Big data is then utilized to improve decision-making and improve customer management. A literature review and a thematic analysis of recent research will be used to gather the data for this investigation.

Pages: 18

The concept of big data has been evolving over the years and holds much more importance in today’s era than ever. In today’s competitive world, it is essential for organizations to use an advanced tools such as big data to get a competitive edge against their rivals. Big data, in many ways, has helped organizations gather and analyze information regarding their customers to improve their experience and lead to better retention rates. This directly affects businesses in a positive manner as it leads to sales and revenue growth. Big data has been influencing the way organizations operate and handle their customers, and the real estate industry is no exception to that. The role and likings of customers are of utmost importance in the real estate industry and therefore, big data becomes an important tool in the effective implementation of CRM. The use of big data helps in understanding the customers in a better way and increases their involvement level. Therefore, it is important to understand how organizations can harness this data and use it to their advantage. This paper aims to understand how big data analytics has influenced customer relationship management (CRM) in the real estate industry by examining its influence on various factors such as customer experience, customization, and services. The paper will also examine how different organizations have used big data in the past and assess its 158effectiveness based on past results. This will further help us to throw light on how big data can be used to improve strategic decisions to increase customer loyalty and thus retention.

Pages: 13

Big data has garnered considerable attention from the academic and business communities. Influencer marketing is one of the fastest-growing domains, but finding these influencers in massive datasets is a never-ending difficulty. The increasing popularity of influencer marketing has prompted research scholars to explore their impact on consumer brand knowledge and their attitude toward brands. When preparing for and carrying out their influencer marketing programs, many organizations encounter numerous difficulties. This necessitates the use of up-to-date information, cutting-edge equipment, and automation to address these problems effectively. Studies indicate that the content of the message and congruence of the influencer with the brand significantly influence brand knowledge and brand affection while the credibility of the influencer might not affect brand knowledge or brand affection.

Pages: 20

Big data is paving the way for technology and continuously serving to incorporate AI-based modules to bring revolution and innovative vision. Every technology and service that is impacting the human being or gets impacted by society and its behavior can be revolutionized to improve the level of comfort for society and the human being. Big data brings more value and organized execution to the system, which demands innovation. Looking forward to the future and the need of time, it is required to bring all possible technology and services, including retail, traffic management, railway reservation and signaling systems, the fashion world, demand prediction for various sectors, e-commerce, etc., under the umbrella of big data and AI.

Pages: 15

The patterns of life we all took for granted have been disrupted by rapidly changing business environments, technological advancements, and climate change. Tech is at the forefront of disruption, which is a prospect for progress. The Industrial Revolution 4.0 transformed the transactional aspects of businesses. The Industrial Revolution 5.0 was considered the next upsurge of new technologies, bringing the promise of increased productivity and efficiencies. Technological growth has also highly impacted the HR function, transforming HR from transactions to a transformational approach with a much higher impact on businesses and employees than ever before. It is now more about the customer experience. The idea of Internal Customer Experience (ICX) has drawn significant attention from researchers. Previous literature shows that ICX has the prospect of improving employee experience, motivation, outcome, and behavior. This research examines how new technologies can enable HR to deliver the Internal Customer Experience.

Pages: 17

Numerous sectors, including healthcare, finance, retail, and telecommunications, now depend heavily on big data. Organizations can spot patterns, trends, and linkages that would be impossible to spot using more conventional techniques by analyzing vast amounts of data. This could result in fresh perspectives and better decision-making, which would boost effectiveness and performance. Big data also presents obstacles, such as ensuring data quality, safeguarding privacy and security, and acquiring new knowledge and skills. Despite these difficulties, big data can help firms gain huge benefits and completely transform their particular sectors. Big data is a component that is gaining importance across a range of businesses and has the ability to significantly affect and enhance performance. Making data-driven decisions, gaining new insights, and completely changing industries are all possible thanks to big data. Despite its potential, big data presents a number of difficulties, including the need to ensure data quality, safeguard users’ privacy and security, and acquire new knowledge and skills. Businesses that successfully use big data and overcome these obstacles can reap enormous rewards and succeed in their objectives. Big data’s significance in the modern world cannot be overemphasized, and it is essential for enterprises to comprehend both the advantages and difficulties of using it. Big data refers to the massive volume of organized and unstructured data that a firm must continually deal with. The quantity of data is not important, though. What companies do with 226the data is what really matters. Big data analysis may yield information that aids in making more informed judgments in general as well as strategic business decisions. A company can use big data to retain consumers by making use of the amount of customer information it contains. No matter the size of the business, utilizing the data that has been collected effectively can lead to superior customer service throughout the entire organization. Big data enables rapid customer response and mass personalization of service. It seeks to improve the capacity of customer service teams to amaze and facilitate real-time personalization. Big data assists in quickly locating innovative and lucrative product offerings. Smaller businesses may find big data intimidating.

Pages: 20

Information technology is rapidly booming in tandem with the international business revolution. As a result of these technological developments, customer experience (CX) has become a viable source of competitive difference. Each firm must make sure that their customers have a good experience. All techniques and technology are being used by businesses to improve CX. The best method for gaining customer insights for managing the CX is big data analytics (BDA). In recent years, the emergence of BDA has been noticed, which is now playing a crucial role in CX. Therefore, there is a need for a conceptual framework that would give a broad overview of BDA’s potential applications for CXM and would direct management practice because there is little research in this area. The major objective of this chapter is to make a conceptual and strategic framework for CX obtained from BDA that would help managers make smart and concurrent decisions. For this study, secondary data has been used. The paper provides a conceptual framework of BD and BDA, the evolution of BD, the main characteristics and various types of BD, data sources, and the opportunities and challenges of BDA. In the last section, the conclusion, followed by future research opportunities, is presented.

Pages: 14

Big data analytics has recently drawn a lot of interest as academic and industrial researchers work to efficiently extract and apply every piece of knowledge from the voluminous amounts of data being produced and received. To achieve a competitive edge, businesses use big data analytics to make data-driven decisions in various areas of the organization. This study aimed to investigate the value of big data for acquiring and keeping customers. This study uses secondary sources of data collection, including books, papers, and online publications. Thereafter, the data will be subjected to a thematic content analysis. The limitations and issues with using big data are also brought up to remind businesses to use it properly. The study also demonstrates how big data is helping businesses acquire and retain customers while providing them with insights that allow them to deliver personalized services. On the other hand, the chapter also discusses the security and privacy risks associated with using big data analytics. Users must therefore take precautions to lessen the possibility of growing privacy and security vulnerabilities in their big data environment.

Pages: 13

Digital technologies have transformed each and every aspect of our life by providing us with personalized products and services. Today, technological advancements, their renewal, and decentralization are important yardsticks of the development of nations. Similarly, on governance aspects, digital e-technologies have transformed governance by transforming it into e-governance which has led to the huge collection of data on citizen behaviors and engagement patterns with governance interface. Data and its management are the new currency type in the digital realm, the fourth industrial revolution, and discussions of globalization 4.0. Big data and artificial intelligence can make more of a contribution to better ensuring the efficiency and effectiveness of governance goods, such as the execution of programs and policies to target segments of citizens. This chapter intends to propose a conceptual model to improve the personalization of e-governance products and services to each citizen of India to his or her socioeconomic, educational, and environmental background. The proposed conceptual theoretical models incorporate the 278political system of the country and its technological interfaces and estimate to improve the governance experiences of citizens.

Pages: 19

In a world where technology constantly evolves, keeping up with the latest trends can be challenging. But one trend that businesses cannot afford to ignore is the metaverse. The metaverse is a digital universe where people can interact with each other and create their own reality. It is a place where avatars (digital representations of people) can meet, socialize, and do business. The term was first coined by science fiction writer Neal Stephenson in his 1992 novel Snow Crash. Today, the metaverse concept is realized through virtual reality (VR) and augmented reality (AR) technology. VR allows users to immerse themselves in a completely artificial environment, while AR overlays digital information on top of the real world. These technologies are giving rise to new ways of interacting with the world and each other. The potential applications of the metaverse are nearly limitless. For businesses, it provides a new way to engage with customers and build brand awareness. Customer engagement in the metaverse can be used to increase retention rates and customer loyalty. By collecting data on customer activity and preferences, businesses can personalize the user experience for each individual. This allows for a more immersive and engaging experience that keeps customers coming back. In order to keep customers engaged, businesses need to harness the power of big data. Big data can provide insights into customer behavior, preferences, and needs that can be used to create tailored customer experiences. By using big data to better understand their customers, businesses can create more engaging experiences that will help retain existing customers and attract new ones.

Pages: 16

The big data is transforming marketing and sales decisions in various aspects. Customer involvement, customer retention, and loyalty are some of the important factors or dimensions contributing toward the success of every business, and big data is proving to be an important tool for achieving all these objectives. The most emerging themes which came out of the data set appear to be the usage of machine learning sentiment analysis in retailing. Another aspect which highlights the use of big data and artificial intelligence is increasing sales and understanding customer intentions in various business scenarios. In the year 2018, the most significant topics of research for “big data and artificial intelligence” were related to tourism, data mining, and social media. After that, the thrust of the researchers shifted toward tourism destinations, big data, and the use/application of big data and related technology in the field of commerce. In 2020, big data was extensively applied in sales forecasting, commerce, and marketing to a great extent. In the later half of the same year, the focus shifted to social networking, artificial intelligence, and retailing. Presently, the research studies that are coming up in the year 2022 are mostly related to machine learning, sentiment analysis, and retailing.