Customer analysis is receiving special attention from both researchers and professionals. The objective of this paper is to identify the trends of techniques used to address customer's current problems and shed light on future research directions using a literature review. We reviewed the literature for the last five years. The findings revealed that customer purchase was the most popular technique used by the research community followed by customer satisfaction and visit wit. Whereas customer segmentation and customer churn were the least. However, the regression method was commonly used for predicting customer purchase and behavior. But, social media and big data are still in their early stages for customer analytics research
When acquiring consumer data for marketing or new business initiatives from external sources, it is ...
The purpose of this research is to review the literature published from 2010 to 2020 regarding custo...
Customer analytics plays a vital role in generating insights from big data to improve service innova...
The limited focus on particular research designs, data analysis methods, and research objects freque...
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
In today’s global market, the impact of technology can be felt in every sector and marketing is no e...
The main aim of the study is to understand customer data analytics and its applications in marketing...
In the face the contemporary world lives, and the consequent data produced at an unprecedented speed...
There has been an increasing trend of big data analytic in the e-commerce industry in the recent yea...
This paper aims to give an overview of customer analytics in fashion retail industry in the era of b...
Both literature and practice have investigated how the vast amount of ever increasing customer infor...
According to the lack of a comprehensive literature review in the area of application of data mining...
Customer behavior has drastically changed in recent years. Being able to anticipate your customer’s’...
Online transactions have been growing exponentially in the last decade, contributing to up to 11% of...
The main purpose of this paper is to provide a theoretically grounded discussion on big data mining ...
When acquiring consumer data for marketing or new business initiatives from external sources, it is ...
The purpose of this research is to review the literature published from 2010 to 2020 regarding custo...
Customer analytics plays a vital role in generating insights from big data to improve service innova...
The limited focus on particular research designs, data analysis methods, and research objects freque...
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
In today’s global market, the impact of technology can be felt in every sector and marketing is no e...
The main aim of the study is to understand customer data analytics and its applications in marketing...
In the face the contemporary world lives, and the consequent data produced at an unprecedented speed...
There has been an increasing trend of big data analytic in the e-commerce industry in the recent yea...
This paper aims to give an overview of customer analytics in fashion retail industry in the era of b...
Both literature and practice have investigated how the vast amount of ever increasing customer infor...
According to the lack of a comprehensive literature review in the area of application of data mining...
Customer behavior has drastically changed in recent years. Being able to anticipate your customer’s’...
Online transactions have been growing exponentially in the last decade, contributing to up to 11% of...
The main purpose of this paper is to provide a theoretically grounded discussion on big data mining ...
When acquiring consumer data for marketing or new business initiatives from external sources, it is ...
The purpose of this research is to review the literature published from 2010 to 2020 regarding custo...
Customer analytics plays a vital role in generating insights from big data to improve service innova...