What does the concept of "data segmentation" refer to?

The concept of "data segmentation" specifically refers to the process of dividing a data set into smaller, more manageable groups or segments. This practice enables analysts to better understand the data by evaluating specific subsets that share common characteristics. For instance, a business may segment its customer data based on demographics, purchasing behavior, or geographic location to tailor marketing strategies or improve product offerings. By focusing on distinct segments, analysts can derive insights that might be obscured in a larger, more heterogeneous data set, leading to more informed decision-making.

The other concepts, while related to data analysis, do not capture the essence of segmentation. Aggregation pertains to combining data rather than dividing it, trend analysis involves monitoring changes over time which is different from segmentation, and evaluating data quality relates to assessing the integrity and reliability of data but does not involve dividing it into segments. Each of those concepts serves a different purpose within the broader field of data analytics.