Unleashing the Power of Big Data: Designing a Robust Business Intelligence Framework for E-commerce Data Analytics

Abstract

E-commerce companies are struggling to make use of the enormous amounts of data collected from diverse sources in the big data era. Designing and implementing a strong business intelligence (BI) framework that makes use of big data analytics is essential to overcoming this difficulty. The study examines how cloud computing affects mobile e-commerce, stressing its benefits for real-time data processing, scalability, and analysis. which boosts the competitiveness of Chinese e-commerce businesses. This study's goal is to deploy a comprehensive BI platform designed especially for e-commerce research to unleash the power of big data. Furthermore, the deployment of precision marketing techniques based on the RFM model and historical data analysis increases client segmentation, leading to targeted marketing efforts, greater customer happiness, and higher conversion rates. The major goal of this research is to equip e-commerce companies with the tools they need to take advantage of big data's potential and make decisions that will give them a competitive edge. Data storage, retrieval, and data mining are made possible by the integration of big data technologies, such as relational and distributed databases, along with parallelization via MapReduce. Ordinary, the findings of this newsletter spotlight the importance of embracing massive information technologies and methodologies in the e-trade sector. Leveraging cloud computing, records mining, and enterprise intelligence strategies can free up the capability of tremendous records assets, permitting enterprises to make informed choices, drive innovation, and gain a competitive facet. The paper highlights the value of security safeguards and risk assessment models in e-commerce systems, offering suggestions for spotting and reducing potential dangers and preserving the integrity of the system.