Business Intelligence is a popular concept in global market today. Many large enterprises frequently use a number of products that help in business analysis and decision making. However, such systems prove really costly for medium scale enterprises. One of the main reasons for this is that the enterprises have to pay for the tools whose many features are either unnecessary or never used. Those enterprises have the potential to grow and need good decision support for that, but affordability comes as an important issue. Due to this, the current practices are mostly limited to analysis of manually created charts in meetings and boardroom discussions.
This project explores the tools and techniques that can be used to build Business Intelligence system for such enterprises which is both inexpensive and scalable when the enterprise grows. With simple data analysis methods and integration of various low cost components, a stable and powerful system can be created. Hence, the project discusses different statistical techniques, and free and open-source platforms which can be used to develop a secure, interactive and sustainable Business Intelligence system that enables data visualization and predictive analysis.
Keywords: Business Intelligence, Scalability, Affordability, Data Visualization, Predictive Analysis