It allows organizations to use spatial data and analytics for more efficient delivery routes, better behavioral marketing, and strategic location planning. Used to optimize business processes and predict future outcomes through the power of spatial data science.
Whether optimizing sites, balancing sales territories, or designing supply chains – understanding and analyzing spatial data is fundamental to the future of your business. CARTO's Location Intelligence platform enables organizations to store, enrich, analyze, and visualize their data to make spatially-aware decisions.
Data scientists, analysts, and developers create a competitive advantage, optimize business processes, and predict future outcomes using CARTO's technology, data, and services, within the context of spatial data science.
Spatial Data Science (SDS) is a subset of data science that focuses on the unique characteristics of spatial data, going beyond simply looking at where things happen to understand why they happen there.
SDS treats location, distance, and spatial interactions as central aspects of data using specialized methods and software to analyze, visualize, and apply learning to spatial use cases.
Public and private sector organizations will increase their investments in SDS over the next 2 years (according to The State of SDS in Enterprise).
From retail and real estate to telecommunications and utilities – data science and analytics leaders are looking to attract spatial analysis expertise, as well as equip them with new technologies and data streams to enable key use cases that help them leverage more spatial insights in their decision-making.