What practice involves identifying, defining, and solving a problem by using data in an organized, step-by-step manner?

The practice that involves identifying, defining, and solving a problem by using data in an organized, step-by-step manner is known as data-driven problem solving or data analysis. This approach typically involves several key stages:

1. Identifying the Problem: Clearly define what the problem is, ensuring that it is specific and measurable.

2. Collecting Data: Gather relevant data that pertains to the problem. This can be through surveys, experiments, or existing databases.

3. Analyzing Data: Use statistical methods or analytical tools to examine the data. This helps in understanding trends, patterns, or insights that might point to potential solutions.

4. Defining Solutions: Based on the data analysis, develop one or multiple solutions to the problem. Consider the feasibility and implications of each solution.

5. Implementing Solutions: Decide on the best solution and implement it in a controlled manner.

6. Monitoring and Evaluating Results: After implementation, continuously monitor the outcomes to evaluate the effectiveness of the solution, making adjustments as needed.

This method is widely used in fields such as business analytics, scientific research, and engineering problem-solving, emphasizing critical thinking and data literacy.