We've developed the Data Observatory, a repository of thousands of spatial datasets from public and premium sources, to reduce the cost and time-to-insight for analysts and data scientists working with spatial analytics. Data Enrichment is becoming increasingly important to gain a competitive advantage in various sectors such as Retail, CPG, Real Estate, and Advertising. We've completed the redevelopment of our Location Intelligence platform, adopting a fully cloud-native architecture, extending geospatial capabilities on Google BigQuery, Snowflake, Databricks, and AWS Redshift, while maintaining benefits around privacy, compliance, scalability, and lower costs. Our Analytics Toolbox provides a complete framework for spatial analytics in SQL, computed natively in leading cloud data warehouse platforms, enabling users to run scalable enrichment queries without complex ETL processes. For Data Enrichment, we've implemented 12 procedures that can be differentiated by type of geometries, source of data, and aggregation operations, allowing users to easily enrich their analysis with location-based context. Our platform now supports data enrichment in Google BigQuery and Snowflake, with plans to add support for Amazon Redshift and Databricks in the coming months.