Save the default settings and click 'Save', and the new layer is created with drive-time radii. From here, select 'I'm Done'. It's now time to add in a competitor layer. If you know the locations of 12 different competing womenswear shops in Dublin, you can add these to the map. Esri also ingests premium data sources that you can add to your project to pull all known womenswear shops, restaurants, coffee shops, shopping centres + more.
Having a competitor close by may negatively impact how your business performs, so keep this in mind for the analysis.
Next, you can add the competitor layer as a point layer from ArcGIS Online. You can add this layer to the map by selecting the 'Add Data' tab and clicking on the 'Web Maps and Layers' square. Navigate to your web layer and select it to add to the map.
Now you’ve added and visualised all of your store and competitor data, so it's time to perform the analysis. On the blue ribbon, click on 'Run Analysis', then select the 'Suitability Analysis' square.
Select 'Add Sites from Project', and you will see your sites appear. Make sure all are selected and click 'Next'.
Now, you’ll add the criteria you would like to take into consideration for the analysis.
Click on 'Add Criteria', then '+ Add variables from data browser'.
Here, you have access to over hundreds of different data variables for the Republic of Ireland that range from spending on consumer electronics to household size, all recently updated to a 2019 vintage. You can also combine different variable subcategories using simple mathematical functions to create your own custom variables.
Additionally, if you have your own demographic datasets that you'd like to use, you can set these up and store them right inside your project as a custom data setup for use in any future analyses.
Let’s consider the variables that may be of importance to a womenswear retailer. These might include 'Clothing Expenditures', 'Total Female Population', and 'Total Purchasing Power'. You’ll add these variables to the analysis.