Proposta de infraestrutura de software para serviço de processamento de clickstream

Abstract

In today's digital landscape, analyzing user behavior has become essential for product optimization, but implementing a clickstream infrastructure to collect and process data in real time is a significant technical challenge. The problem lies in the complexity and high cost, which limits access to this technology, especially for small and medium-sized enterprises. Therefore, the objective of this work is to propose the development of a service platform for recording and analyzing user interactions in digital environments, known as clickstream, that is accessible and easy to integrate, eliminating the need for companies to build an infrastructure from scratch. To achieve this objective, the methodology was based on three main components: a Kafka Topic Management Infrastructure, a Template for Integration with front-end Applications, and Detailed Documentation. As a result, the platform, named MG-ClickStream-Manager, was developed to enable the collection, processing, and analysis of click events, facilitating data-driven decision-making. In conclusion, the project shows potential to simplify implementation and democratize access to clickstream analytics, allowing developers to focus on analysis and decision-making without worrying about infrastructure complexity, thus promoting a more efficient development ecosystem.