Geospatial Analytics are used to analyze data about physical objects that are linked to a geographical location. This usually means data on imagery, GPS, satellite photography and historical data, that can be used to describe exact geographic coordinates or build a picture of an area in terms of a street address, postal code or any other identifiers, as they are applied to geographic models. In addition to that, it gives the ability to track, understand and explain patterns of human behavior.
Mozn helps companies within different industries expand their sites or optimize their choice of current locations by analyzing internal data with external geospatial data that provides a comprehensive report allowing management to draw accurate and optimal site locations based on the data collected.
Mozn helps in identifying gaps by assessing sales and spatial data, enabling companies to balance territories. As well as building new areas of business
Using location intelligence and analytics to optimize the supply chain planning, enabling a smarter, faster operation and an efficient overall process.
Using geospatial and mobility data to create better marketing decisions and ensuring a higher return on investments.
Optimizing spatial infrastructure allows for efficient transportation, enabling faster, smarter,and cost efficient transport and mobility routes.
Geospatial analysis using mobility and demographic data. The ability to understand and explain patterns of human behaviour and mobility patterns using geographical capabilities in integration with various datasets.
More About QuadRealizing the need to optimize the branch site decision, a bank is interested in following a Data-Driven methodology for site selection across all cities within the kingdom.
Geospatial Analytics enabled competitive insights and identification of an optimal site opening and closure locations based on performance and analytics of internal and external data such as demographics and mobility.
Comprehensive report that allows management to draw accurate and optimal site locations based on the data collected considering supply and demand for each district within every city.
