# GSA at Work

As we defined in the [Geospatial Analysis (GSA) Basics](https://dshub.gitbook.io/ds-hub/geospatial-analysis) section, GSA is the process of studying entities by examining, assessing, evaluating, and modeling spatial data features. 

Businesses can use geospatial analysis to: 

* Identify new business opportunities
* Assess market potential
* Optimize market presence
* Examine factors that are specific to a geographic region
* Enhance new data-driven offerings
* Optimize store locations and product offerings
* Optimize delivery routes and reduce transportation costs
* Identify what stores should be consolidated to decrease sales cannibalization risks

Businesses can use geospatial analysis to optimize trade areas: 

* Model and evaluate site strategies through visualization of demographics, competition, traffic and migration patterns, and more
* Ensure equitable opportunity for virtual and in-person sales
* Understand where potential acquisition chains' customers live in relation to existing or potential business sites
* Identify what stores should be consolidated to decrease sales cannibalization risks

Here are some examples of geospatial analyses from different Industries:

McKinsey & Company -[ Supercharging retail sales through geospatial analytics](https://www.mckinsey.com/industries/retail/our-insights/supercharging-retail-sales-through-geospatial-analytics)

Carto - [How Location Intelligence improves trade area coverage during retail mergers and acquisition](https://carto.com/blog/mergers-acquisitions-location-intelligence)

ESRI UK & Ireland - [Increasing Retail Sales by 150 Percent with GIS Data and Analysis](https://www.esriuk.com/en-gb/arcgis/products/arcgis-business-analyst/marketsource-case-study)

Kontur - [Using Geospatial Data to Find the Best Business Spot](https://www.kontur.io/blog/population-density-score/)