Data Analysis and Feasibility Study • Marketing Feasibility: Determining the market demand for the product or service, conducting in-depth competitor analysis, and identifying market gaps that the project can exploit. • Technical and Organizational Feasibility: Identifying the operational requirements of the project such as project location, machinery and equipment, required labor, and raw materials, in addition to the administrative structure. • Financial Feasibility: Calculating expected capital and operational costs, estimating revenues, determining the break-even point, and calculating the return on investment (ROI) and payback period. • Legal and Environmental Feasibility: Ensuring the project complies with local laws and regulations (such as licenses, environmental requirements, and labor laws). "Data Analytics" Focuses on transforming big data available to the company or in the market into actionable insights to improve performance and includes: • Descriptive Analysis: Reading the past to understand what happened in the company (e.g., analyzing past sales, identifying the most profitable products). • Customer Behavior Analysis: Studying customer interactions with products, understanding reasons for churn, and accurately identifying target segments based on demographic and behavioral data. • Predictive Analysis: Using artificial intelligence and statistics to predict future trends (e.g., forecasting demand for the next season, or predicting price fluctuations). • Improving Operational Efficiency: Monitoring operational data within organizations to identify waste in time or resources and proposing solutions to increase efficiency and reduce costs.