Spatial Analytics // ISM Canada

Spatial analytics

An approach that applies statistical methods and other analytic techniques to data which has a geographical aspect. This type of analysis typically utilizes software capable of rendering maps which process spatial data, and applies methods to geographic datasets, including the use of geographic information systems and geomatics. ISM integrates spatial analytics within their predictive service to enhance insight and visualization for their customers.

Temporal and statistical analysis
Land & water management (flood/drought risk, soil conditions, simulated effects of land use change)
Correlation analysis
Research partnerships (wildfire prediction, climate change)

Interactive dashboards
Customizable levels of detail (audience appropriate)
Integration of spatial and traditional outputs multiplatform visualizations (web, desktop application, mobile)

Integration and analysis of external data:

Weather (The Weather Company, Environment Canada)
Demographics (Statistics Canada)
Environmental (National Research Council)
Open data

Spatial “as a service” – Hub model
GIS solutions and architecture
Solution hosting and management
Adherence to industry best practices

Predictive Cognitive Business Intelligence

related case studies

Government

Preventing wildfire catastrophe

Cutting costs and saving homes, by acting first. Disaster prediction, and mitigation, with analytics

Government

Striking before the floods

94% living in flood zones don’t even know it, taking smart steps to protect everyone, with advanced analytics

Retail & Distribution

Customer retention through analytics

What if you knew your customers better than they knew themselves? Do you value knowing what drives customer loyalty? Do you know what aspects of your brand drive that loyalty? What if you had the ability to retain customers at risk of being lost and converting them into raving fans? Imagine knowing which customers might leave, before they even know themselves.