Enterprise Business Intelligence Approach With Cloud-Based Analytics

Abstract

In today’s rapidly changing e-business environment enormous amount of heterogeneous and high-velocity data is being generated. A critical component for success of the modern enterprise is its ability to take advantage of all available information. In this paper, business intelligence (BI) system for advanced analytics based on modern cloud-based data warehouse architecture and machine learning models is presented. Its main purpose is to support insights-driven business decision making by integrating relevant data form various sources, and transforming it into usable and accessible information and knowledge. In order to demonstrate the effectiveness and usefulness of the proposed BI system, an experiment with the real-world dataset from the retail industry has been carried out. Data has been integrated into the single multidimensional data warehouse. For advanced analytics several machine learning (ML) models have been created. These ML models complement data warehouse reporting with advanced knowledge that can be used for effective decision making and proactive actions.