Cube’s Data Engine is a centralized financial data foundation designed for FP&A teams that require real‑time planning, structured modeling, and flexible multi‑dimensional analysis. It consolidates financial and operational data from various systems, applies consistent logic, manages hierarchical structures, and supports dynamic modeling without sacrificing speed. It blends tabular and multidimensional structures, enabling finance teams to model complex organizations, maintain accuracy, and streamline reporting and forecasting. The engine also provides secure, governed access while connecting seamlessly with spreadsheets and source systems.

Key Features

Composite Dependency Aware Architecture Supports complex modeling without slowing performance.

• Blends tabular and multidimensional structures
• Maintains dependency‑aware calculations for high processing speed

System Integrations Connects source systems and maps them into structured financial models.

• Syncs data from ERPs, CRMs, HRIS, and spreadsheets
• Automates imports and mapping rules

Unlimited Dimensionality Allows modeling across any number of business dimensions.

• Supports multi‑entity, matrixed organizations
• Enables comparison across multiple segments and scenarios

Flexible Hierarchies Organizes data into adjustable structures for multiple reporting views.

• Drag‑and‑drop hierarchy editing
• Drill‑down from summaries to transaction detail

Centralized Formulas Keeps calculations consistent across all reports and workflows.

• Excel‑style syntax
• Scenario‑aware and currency‑aware formulas

Enterprise‑Grade Security Provides strong governance and controlled access.

• SOC 2 Type II, MFA, SSO, RBAC
• Encryption at rest and in transit

Benefits

Stronger Data Foundation for Faster Planning Improves planning speed by reducing structural and data‑related bottlenecks.

• Real‑time data sync
• Clean, organized model structures

More Accurate and Trusted Financial Models Keeps logic and data consistent across the organization.

• Centralized formulas
• Unified dimensionality and hierarchies

Reduced Manual Data Work Minimizes data cleanup, mapping, and consolidation tasks.

• Automated data imports
• Bulk mapping using conversational AI

Supports Complex, Growing Organizations Accommodates multi‑entity, multi‑currency, and matrixed structures.

• Unlimited dimensions
• Adjustable reporting hierarchies