When should a scripted aggregation be utilized in indicator trending?

A scripted aggregation should be utilized in indicator trending when specific mapping requirements are necessary. This approach allows for customization and adaptability in how data is processed and aggregated based on unique organizational needs or particular scenarios. Scripted aggregations enable the implementation of complex logic that might not be achievable through standard aggregation methods.

For instance, if an organization has specific KPIs that depend on unique data sources or require non-standard calculations, scripted aggregation ensures that these needs are accurately met. This level of flexibility is essential when analyzing nuanced data trends that cannot be represented through simple or static aggregation methods.

By focusing on the specific mapping requirements, teams can effectively tailor the analysis to reflect the true performance and operational context, leading to more insightful data interpretations and thus better-informed decision-making. This capability is crucial in advanced analytics scenarios where data relationships are intricate and require custom handling.