What if you could turn publicly available climate data into actionable business intelligence?
This solution demonstrates how to use raster grid climate datasets to create Climate Intelligence Risk Zones that help organizations understand geographic exposure to temperature-related risk. The workflow converts raw climate observations into spatially enabled business risk categories that can be analyzed through dashboards and maps.
While this example focuses on climate intelligence, the same pattern can be applied to virtually any raster-based dataset. By aggregating and classifying raster grids into business-friendly polygons, organizations can transform complex scientific or geospatial data into meaningful business dimensions that are easier to analyze, visualize, and operationalize. Examples include precipitation, drought, flood risk, wildfire exposure, population density, vegetation health, air quality, land use, and many other gridded datasets.
To help you get started, we've included the below companion resources:
- 📄 Workflow Overview Document
- 📄 Notebook Overview Document
- 💻 The complete notebook (Zipped)
Note: This document/notebook is intended solely for community knowledge sharing and demonstration purposes. It is not official Oracle documentation and should not be considered as formal Oracle guidance or support documentation.
