دانلود رایگان مقاله انگلیسی تحلیل داده های بزرگ برای افزایش تجربه مشتری با جمع آوری منابع - نشریه الزویر

Abstract

The objective of this paper is to analyze and study the ways of considering customer experience big data analytics and incorporate crowd sourcing in the process to increase customer satisfaction and loyalty, revenue and greater employee satisfaction where commerce is immediate and secure. In an era where customer experience play a very important role to improve the necessary target profits and where customers are interacting with many brands across many channels, big data through crowd sourcing gives us a way to focus on the outcomes to increase collaboration coming from expert crowdsource workers, data providers and big data analytics. It is one of the biggest trends that is going to dominate the year 2017-2018 where big data is an exploding area of focus and where business intelligence can be transformed into crowdsourced business intelligence. Since it is nowadays a smart digital world where applications has to support essential workflows, the emerging research areas in big data and crowdsourcing can explore the means to provide big benefits and great potential from a customer service prospective. Findings give us a better understanding how companies are able to understand and monetize their customers better.

6. Conclusions

The idea in this paper can act as a guide for incorporating crowdsourcing with Big data in customer analytics which can have the potential to bring together a large group of crowd workers who are customers themselves on the same platform when there is an issue that affects them all. Crowdsourcing issues for customer retentions are mostly focussed around problems with the worth, correctness, and aggregation of data especially when the data is massive. However, these issues can be addressed in future research through proper planning and with an understanding of the final goal of crowdsourcing in big data for customer retention.