Business Intelligence Report: AI, Data Mining, and Dashboards

This report delves into the realm of business intelligence, exploring key concepts such as text mining and its applications, the significance of artificial intelligence (AI), and data mining techniques. It provides a definition of text mining, differentiating it from data mining and outlining various methodologies like keyword-based, records-based, and linguistic-based approaches. The report also discusses the applications of text mining across various industries and explains the role of AI in automating tasks, adding intelligence to existing systems, and enabling data-driven decision-making. Furthermore, the report includes a practical data mining analysis of bank data using the J48 algorithm within the Weka data mining tool, presenting the analysis results for different attributes. Finally, the report introduces business dashboards as a crucial tool for visualizing business performance, focusing on key performance indicators (KPIs) such as sales change, average revenue per unit (ARPU), customer acquisition cost (CAC), and customer lifetime value (CLV).