BOOKS - Augmenting Customer Retention Through Big Data Analytics
Augmenting Customer Retention Through Big Data Analytics - Reena Malik, Ambuj Sharma, Prashant Chaudhary 2025 PDF Apple Academic Press/CRC Press BOOKS
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Augmenting Customer Retention Through Big Data Analytics
Author: Reena Malik, Ambuj Sharma, Prashant Chaudhary
Year: 2025
Pages: 351
Format: PDF
File size: 11.3 MB
Language: ENG



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Augmenting Customer Retention Through Big Data Analytics In today's fast-paced digital world, businesses have access to vast amounts of data about their customers. This data can be used to gain insights into customer behavior and preferences, allowing companies to tailor their marketing efforts and improve customer retention. One such approach is through big data analytics, which involves analyzing large datasets to identify patterns and trends that can inform business decisions. In this article, we will explore how big data analytics can be used to augment customer retention and create a more personalized experience for customers. The Evolution of Technology To understand the importance of big data analytics in customer retention, it's essential to study the evolution of technology. Over the past few decades, technology has advanced at an incredible pace, transforming the way we live, work, and communicate. The rise of the internet, social media, and mobile devices has created new opportunities for businesses to connect with their customers. However, this increased connectivity has also led to a deluge of data, making it challenging for companies to keep up with the sheer volume of information. The Need for Personal Paradigms As technology continues to evolve, it's crucial for businesses to develop a personal paradigm for perceiving the technological process of developing modern knowledge. This means recognizing the need to adapt to changing customer needs and preferences and using data-driven insights to inform decision-making. By doing so, companies can ensure they remain relevant and competitive in an ever-changing marketplace. The Possibility of Developing a Personal Paradigm One of the primary benefits of big data analytics is its ability to provide a comprehensive view of customer behavior.
Повышение уровня удержания клиентов с помощью аналитики больших данных В современном быстроразвивающемся цифровом мире компании имеют доступ к огромным объемам данных о своих клиентах. Эти данные можно использовать, чтобы получить представление о поведении и предпочтениях клиентов, что позволяет компаниям адаптировать свои маркетинговые усилия и улучшить удержание клиентов. Одним из таких подходов является анализ больших данных, который включает в себя анализ больших наборов данных для выявления закономерностей и тенденций, которые могут служить основой для бизнес-решений. В этой статье мы рассмотрим, как аналитика больших данных может быть использована для увеличения удержания клиентов и создания более персонализированного опыта для клиентов. Эволюция технологий Чтобы понять важность аналитики больших данных для удержания клиентов, необходимо изучить эволюцию технологий. За последние несколько десятилетий технологии развивались невероятными темпами, трансформируя то, как мы живем, работаем и общаемся. Рост Интернета, социальных сетей и мобильных устройств создал для бизнеса новые возможности для общения со своими клиентами. Тем не менее, это увеличение возможностей подключения также привело к потоку данных, что затрудняет компаниям справляться с огромным объемом информации. Потребность в личных парадигмах Поскольку технологии продолжают развиваться, для бизнеса крайне важно разработать личную парадигму восприятия технологического процесса развития современных знаний. Это означает признание необходимости адаптации к меняющимся потребностям и предпочтениям клиентов и использование анализа данных для принятия решений. Делая это, компании могут гарантировать, что они остаются актуальными и конкурентоспособными на постоянно меняющемся рынке. Возможность разработки личной парадигмы Одним из основных преимуществ аналитики больших данных является ее способность предоставлять комплексное представление о поведении клиентов.
Migliorare il livello di detenzione dei clienti con gli analisti dei big data In un mondo digitale in continua espansione, le aziende hanno accesso a ingenti quantità di dati relativi ai propri clienti. Questi dati possono essere utilizzati per conoscere i comportamenti e le preferenze dei clienti, consentendo alle aziende di adattare i propri sforzi di marketing e migliorare la detenzione dei clienti. Uno di questi approcci è l'analisi dei dati di grandi dimensioni, che include l'analisi di grandi set di dati per individuare gli schemi e le tendenze che possono essere la base per le soluzioni aziendali. In questo articolo prenderemo in considerazione come un analista di big data può essere utilizzato per aumentare la detenzione dei clienti e creare un'esperienza più personalizzata per i clienti. Evoluzione della tecnologia Per comprendere l'importanza degli analisti di big data per trattenere i clienti, è necessario studiare l'evoluzione della tecnologia. Negli ultimi decenni la tecnologia si è evoluta a un ritmo incredibile, trasformando il modo in cui viviamo, lavoriamo e parliamo. La crescita di Internet, social network e dispositivi mobili ha creato nuove opportunità di comunicazione con i propri clienti. Tuttavia, questo aumento della connettività ha portato anche al flusso di dati, rendendo le aziende più difficili da gestire. Necessità di paradigmi personali Poiché la tecnologia continua ad evolversi, è fondamentale per le aziende sviluppare un paradigma personale per la percezione del processo tecnologico di sviluppo della conoscenza moderna. Ciò significa riconoscere la necessità di adattarsi alle esigenze e alle preferenze dei clienti in evoluzione e utilizzare l'analisi dei dati per prendere decisioni. In questo modo, le aziende possono garantire che rimangono aggiornate e competitive in un mercato in continua evoluzione. Possibilità di sviluppare un paradigma personale Uno dei principali vantaggi degli analisti di big data è la sua capacità di fornire una visione completa del comportamento dei clienti.
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