Semester 1: IoT Product Feasibility Study using Visual DSS Tool

This report presents a comprehensive feasibility analysis of an IoT product using Visual DSS and Power BI. Part A involves calculating the Net Present Value (NPV) using Visual DSS, performing Monte Carlo simulation for risk analysis, and assessing the impact of selling price and unit cost on profitability. Part B demonstrates data validation using Power BI on sales data and job service data, employing visualizations like maps, matrices, and charts. Part C discusses the age-related market strategy for AI assistants like Alexa, focusing on accuracy, alignment, and privacy. The analysis includes initial investment, annual overhead costs, market share, and cumulative probability to determine product feasibility and market acceptance.