Enterprise Geospatial Intelligence Platform

Context

Geospatial data had become a critical input across multiple teams, supporting both operational and analytical use cases.

However:

• Capabilities evolved independently across domains
• Duplicate datasets were maintained
• Access controls and ownership models were inconsistent

Despite its importance, there was no unified governance approach.

Decision Challenge

Leadership needed to determine whether geospatial capabilities should:

• Remain embedded within individual domains, or
• Be established as a shared, governed platform capability

The trade‑off involved balancing autonomy with consistency and control.

Leadership Decision

Geospatial intelligence was defined as a shared enterprise capability.

The approach focused on:

• Establishing clear ownership and accountability
• Defining standardized access and governance principles
• Enabling reuse without restricting team autonomy

Advisory Role

• Designed governance and ownership models
• Structured platform‑level decision frameworks
• Balanced reuse with domain‑specific flexibility

Outcomes

• Reduced duplication across teams
• Improved consistency in access and security
• Faster onboarding of new use cases
• Clear accountability for shared data assets

Key Insight

Shared data platforms fail less because of technology and more due to unclear ownership and access boundaries.

Why This Matters

Strong governance determines whether shared platforms scale efficiently or fragment over time.