Multi-tenant Business Intelligence System Virtual Data Model

The patent implements a virtualized data environment where physical copies of data are not created. Instead, virtual representations of data sets are maintained, allowing multiple users to access and analyze the same data simultaneously without duplicating storage resources. This enables spreadsheet-like ease of operation while handling enterprise-scale data volumes through virtualization rather than physical copying.

The patent transitions from physical data size constraints to virtual data access. By implementing a virtualized environment where data can be accessed and analyzed in virtual space rather than physical space, the system allows users to work with complete enterprise-scale datasets without being constrained by physical storage limitations or requiring data sampling that would cause information loss.

The patent merges multiple company data environments into a single virtualized data pool while maintaining logical separation through security protocols. Different companies' data sets are combined in the same physical infrastructure and virtual environment, allowing unified management and analysis while preserving data security through virtual boundaries and access controls rather than physical segregation.

The patent enables businesses to self-serve their own data analysis needs through the shared virtualized environment. Companies can independently access, analyze, and manage their own data sets along with partner data without requiring external vendor intervention for data management tasks. This maintains control over data while leveraging the productivity benefits of professional-grade analytics infrastructure.