Final answer:
The process described is best called stratification (D), which involves dividing the data into distinct groups or strata based on certain characteristics or variables.
Step-by-step explanation:
Stratification involves the process of categorizing or grouping data to identify correlations or patterns within different subsets of the information. This method allows for a deeper analysis by breaking down the data into meaningful segments based on specific criteria. Blanca's action of separating the data aligns with this approach, enabling a more focused investigation into potential correlations within each category or group.
Quantification refers to assigning numerical values or measures to data, Root cause analysis involves identifying underlying reasons for a problem, and Process analysis examines the steps in a sequence to understand their efficiency and effectiveness, but neither directly encapsulates the act of categorizing data for correlation exploration.
In Blanca's case, stratification allows for a more nuanced understanding of the situation by revealing potential connections or patterns within distinct segments of the data, which might not be evident when analyzing the entire dataset as a whole.
So, the correct answer is indeed D. Stratification.