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Impact of Big Data Analytics on the CRM System

About Impact of Big Data Analytics on the CRM System

This chapter presents the introductory content about retail sectors regarding how the retail business was carried in traditional times and how it is different from the current online system. With time, customer's interest also changes, and their relationship gains even more critical for continuous business growth. Thus, we discuss the customer relationship management system from various perspectives (Liao SH et al., 2011). Customer relationships can be better managed using the latest internet, different communication tools, and technology. Various technologies such as Bigdata, cloud computing, web analytics, the internet of things, mobile computing, artificial intelligence, augmented reality, virtual reality, and machine learning are in demand for understanding the customer needs and taking the many major business decisions of the retail sector (Peltier J et al., 2013).

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  • Language:
  • English
  • ISBN:
  • 9798889951254
  • Binding:
  • Paperback
  • Pages:
  • 234
  • Published:
  • March 29, 2023
  • Dimensions:
  • 152x13x229 mm.
  • Weight:
  • 346 g.
Delivery: 1-2 weeks
Expected delivery: January 8, 2025

Description of Impact of Big Data Analytics on the CRM System

This chapter presents the introductory content about retail sectors regarding how the retail business was carried in traditional times and how it is different from the current online system. With time, customer's interest also changes, and their relationship gains even more critical for continuous business growth. Thus, we discuss the customer relationship management system from various perspectives (Liao SH et al., 2011). Customer relationships can be better managed using the latest internet, different communication tools, and technology. Various technologies such as Bigdata, cloud computing, web analytics, the internet of things, mobile computing, artificial intelligence, augmented reality, virtual reality, and machine learning are in demand for understanding the customer needs and taking the many major business decisions of the retail sector (Peltier J et al., 2013).

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