In OneStream, what does 'one source of data truth' imply?

In OneStream, what does 'one source of data truth' imply?

• A. A single, unified data model used across the platform.
• B. Data is duplicated for each module.
• C. Data is stored in separate silos by department.
• D. Data is not shared across applications.

Answer: (A)

One source of data truth means there is a single, unified data model that acts as the authoritative reference for all data used in OneStream. All modules, reports, planning, and analytics draw from this same model, with consistent definitions for metrics, dimensions, hierarchies, and data quality rules. Data is ingested once and governed under a common schema, so calculations and KPIs rely on the same numbers everywhere. This reduces reconciliation effort and avoids conflicting figures across applications. If data were duplicated for each module or kept in separate silos, or if data weren’t shared across applications, you’d end up with inconsistencies and extra maintenance. The single, unified data model across the platform is what ensures a true, reliable source of data truth.

One source of data truth means there is a single, unified data model that acts as the authoritative reference for all data used in OneStream. All modules, reports, planning, and analytics draw from this same model, with consistent definitions for metrics, dimensions, hierarchies, and data quality rules. Data is ingested once and governed under a common schema, so calculations and KPIs rely on the same numbers everywhere. This reduces reconciliation effort and avoids conflicting figures across applications.

If data were duplicated for each module or kept in separate silos, or if data weren’t shared across applications, you’d end up with inconsistencies and extra maintenance. The single, unified data model across the platform is what ensures a true, reliable source of data truth.