Disaggregable

Capable of being broken down into smaller, more detailed components or categories; able to have its constituent parts separated and analyzed individually. This term is often used in statistics, data analysis, and social sciences to describe information that can be stratified, categorized, or subdivided to reveal nuanced patterns or differences within a larger dataset or group. It implies the capacity to extract meaningful insights by examining elements independently rather than solely considering the aggregate total.

Disaggregable meaning with examples

• The research team determined the survey data was disaggregable, allowing them to analyze responses by age, income, and geographic location. This revealed significant variations in attitudes towards the policy among different demographics, which would have been hidden if the data had remained aggregated.
• A healthcare organization ensured its patient records were disaggregable, enabling it to track treatment outcomes based on ethnicity and socioeconomic factors. This allowed the organization to identify and address disparities in care delivery, a task impossible with aggregated data.
• The economic analysis found that national spending figures, while seemingly stable, were not disaggregable. They couldn't determine whether spending increases benefitted the wealthiest or the poorest individuals, which limited the policy's ability to be assessed correctly.
• Before creating their dashboard, the data scientists ensured the sales reports were disaggregable by product line, region, and sales representative. This allowed management to accurately identify top performers, underperforming areas and most profitable segments.