In order to identify underperforming products, which SAP Analytics Cloud feature is effective for highlighting discrepancies?

The feature that is effective for highlighting discrepancies, particularly when identifying underperforming products, is conditional formatting. This feature allows users to visually differentiate values in a data set based on specific conditions or thresholds. For example, a user can set formatting rules that apply different colors to cells containing sales figures below a certain target, making it easy to spot products that are underperforming at a glance.

Conditional formatting enhances the interpretation of data by providing immediate visual cues, such as color coding or font changes, which can help analysts quickly recognize patterns or outliers in their data. This capability is particularly useful in dashboards and reports where quick insights are crucial for decision-making.

On the other hand, data annotations provide context to individual data points but do not emphasize discrepancies across the dataset like conditional formatting does. What-if analysis allows users to model different scenarios and see potential outcomes, but it doesn't directly highlight current underperformance. Input controls are primarily used for filtering and selecting data inputs but do not provide a visual or analytical assessment of performance metrics by themselves.