A Review: Big Data Analytics for enhanced Customer Experiences with Crowd Sourcing

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.