Data-Driven Decision-Making

Traditional Decision-Making

Uses data to guide decision-making

Relies on intuition, experience, or tradition

Involves collecting, analyzing, and interpreting data

May not involve any systematic data collection or analysis

Tends to be more objective

Can be influenced by personal biases or preferences

Focuses on outcomes and results

May prioritize other factors, such as tradition or personal preference

Emphasizes continuous improvement

May be resistant to change or innovation