data refinement

Data refinement is the process of improving and clarifying data to make it more accurate, consistent, and useful. It involves identifying errors, removing duplicates, filling in missing information, and organizing data into a clearer, more meaningful structure. This helps ensure that the data accurately reflects the real-world situation it represents, allowing for better analysis, decision-making, and insights. Essentially, data refinement makes raw data cleaner and more reliable so it can serve its intended purpose more effectively.