Spatial Data Governance in the Time of AI

Build trusted, compliant, and scalable analytics for the AI era.

As organizations turn to AI to boost their spatial analysis, success depends not just on speed but on building analytics with trust, transparency, and control.

Most governance strategies, however, still focus on tabular data and often overlook spatial data, even though it can represent up to 80% of enterprise information. This gap is critical because spatial data brings added complexity, including multiple formats, real-time signals that can expose personal movements or patterns, and heightened regulatory scrutiny.

This report outlines how to bring spatial data into your governance strategy, so your analyses stay accurate, auditable, and compliant.

You’ll learn:

● What makes spatial governance uniquely challenging, and the risks of ignoring spatial data in your enterprise governance strategy.

• ● How AI is changing geospatial, from dashboards to autonomous agents, and the new demands this places on governance.
  
  

● 10 practical steps for iron-clad governance - from eliminating ETL to versioning and metadata-by-design.

● How to measure and improve governance with a Spatial Governance Maturity Model and key metrics to track progress over time.

● What’s coming next, and how to ensure your data governance is AI-ready.

Download now to learn how to make your spatial data governance future-proof!