Big data application for traffic estimation on a website: Big daddy case

Abstract

Living under rapidly changing conditions innovation, flexibility and readiness to change are grounding prosperity of the firm. But any changes for companies should be reasoned and made on the basis of analytical approach. Big data usually could help in this situation without spending time and money on expensive research activities. Therefore, this paper is focused on big data application on customers behavior switching from one product to new its look. Modeling is based on few months daily data with regression analysis application and the least squares method. The major finding comes up with the estimation output that new webpage more popular among IOS and WEB users, although Android systems showing negative impact on switching to new website.