A Model Proposal for Big Data Analytics in the retail sector of Bangladesh

Abstract

This paper attempts to find out the factors that contribute to the success in retail sector of Bangladesh when using big data analytics in their business operations. Recently, there is a driving success in the retail sector in Bangladesh for adopting big data analytics in their operations. So it was necessary for identifying what is/are contributing to this increasing success. To carry out the investigation, 9 constructs were developed including 1 dependent and 8 independent. The 8 independent variables “Cost saving”, “Increased revenue”, “Speedy data management”, “Future demand”, “Micro targeting customers”, “Better inventory management”, “Better pricing management” and “Product development” were expected to be driving the success in retail sector when using big data analytics (Dependent variable). For this, a survey was carried on the mid/higher level employees of organizations with a close ended questionnaire including questions related to the variables. To analyze the survey data a statistical software (SPSS) was used to run reliability tests, multiple regression, and find out the correlations between the independent variables. 8 hypothesis were developed for individual independent variables and were accepted or rejected based on their beta standardized coefficient score. In conclusion it was seen that, four hypothesis were accepted. The independent variables “cost saving”, “increased revenue”, “speedy data management”, “future demand” were the only contributing factors that drove success in the retail sector for using big data analytics.