Data Reduction

Data reduction is the process of transforming large, complex datasets into smaller, more manageable forms without losing essential information. This helps in analyzing and understanding data more efficiently by removing redundancy, summarizing details, or condensing information. Techniques include selecting key variables, aggregating data, or compressing files. The goal is to simplify data to save space, improve processing speed, and make patterns more recognizable, all while retaining the core insights necessary for decision-making.