In SAP OCM, a change assessment benefits from both data types. Option D is correct because
quantitative data (e.g., survey scores) can be visualized (charts, graphs) for impact, while qualitative
data (e.g., interviews) reveals nuanced insights (e.g., resistance reasons). Option A is incorrect—
anonymity isn’t a primary qualitative benefit. Option B is flawed; qualitative data is harder to
aggregate. Option C reverses roles—qualitative explains, quantitative rates. SAP OCM uses this dual
approach for a fuller picture.
“Quantitative data supports visualization, while qualitative data uncovers deeper insights in change
assessments” (SAP Activate, Change Assessment Guidelines).
