A step-by-step guide to how GIS analysis informs decision-making
Introduction to the guide
Organizations in many industries today are increasingly data-driven. In areas such as finance, energy, telecommunications and civil engineering, real estate information and geographic data play a central role in analysis and decision-making.
For example, real estate data describes
- property boundaries
- buildings
- ownership conditions
- assessed values
- addresses and coordinates.
When combined with other geographic data sources - such as infrastructure, environmental, or climate data - organizations can analyse complex relationships and make better decisions.
This guide describes how spatial analysis goes from raw data to concrete decisions.