Data analysis is the process of collecting, cleaning, and interpreting data to extract useful insights. It helps businesses make informed decisions, identify trends, improve efficiency, and increase profitability.

Data analysis helps refine a business model by identifying customer behavior, optimizing pricing strategies, reducing costs, and discovering new revenue opportunities. It ensures that the model is based on real data rather than assumptions.

The main types include:

• Descriptive analysis (what happened)
• Diagnostic analysis (why it happened)
• Predictive analysis (what might happen)
• Prescriptive analysis (what should be done

A business model explains how a company creates, delivers, and captures value. Data plays a key role by validating assumptions, tracking performance, and helping businesses adapt to market changes.

Popular tools include:

• Excel
• SQL
• Python
• Power BI
• Tableau

These tools help businesses visualize data, automate processes, and generate insights efficiently.