Tenant-Level Structure Intelligence

Tenant data that drives confident, defensible structure attribution.

Enertech’s Tenant‑Level Structure Intelligence adds a critical layer of context to structure attribution by identifying and associating tenant information directly to individual structures. Tenant data helps answer a fundamental question within integrity workflows: what is actually located within the structure?

Enertech can support, verify, and validate the structure type codes and unit attributes applied within the operator’s geodatabase.

What Tenant‑Level Intelligence Represents

Tenant‑level structure intelligence captures information describing what businesses or residential units exist; including:

  • Businesses operating within commercial buildings
  • Residential unit counts for single‑family and multi‑family structures
  • Structure addresses and use‑related indicators

This information is analyzed at the structure level, not generically across parcels or areas, ensuring tenant context is correctly aligned to the structure footprint itself.

Tenant Data Supports Structure Attribution

Tenant data plays a direct role in supporting and validating structure attribution by:

  • Confirming that commercial structure type codes align with the businesses operating within the building
  • Supporting accurate classification of residential structures through unit count information
  • Reinforcing distinctions between single‑family, multi‑family, and commercial uses
  • Providing evidence that structure type assignments reflect real‑world use

Rather than driving attribution independently, tenant intelligence acts as supporting context that helps ensure type codes and unit attributes are applied accurately within the operator’s specific schema.

Delivered as a Relational Dataset

Tenant‑Level Structure Intelligence is delivered as a relate table linked directly to the structure feature class within the operator’s geodatabase. This approach:

  • Preserves the operator’s existing schema
  • Supports multiple tenants associated with a single structure
  • Allows attribution decisions to be reviewed and understood within a GIS environment

By relating tenant records directly to structure geometry, operators can clearly see how tenant context supports structure type and unit attribution.

An Extension of Structure Attribution Intelligence

Tenant‑Level Structure Intelligence is designed as a natural enhancement to Enertech’s Structure Attribution Intelligence. It provides additional context that supports attribution decisions already applied, helping validate that structure types and unit counts are consistent with what is present within each structure.

This added layer increases confidence in attribution outcomes without introducing separate classification logic or parallel datasets.

The Result

  • Stronger validation of structure type codes
  • More reliable unit attribution
  • Greater confidence in structure use classification

Enertech’s Tenant‑Level Structure Intelligence turns tenant information into practical, GIS‑ready support for accurate structure attribution.