Using enhanced data analytics to deliver
data that creates new insights
Leveraging multiple sources of publically available information, our US-based client asked us to deliver an analysis of the relationship between Play Center locations and regional demographic data across the US. The data analytics and visualisation solution delivered was integral in driving our clients strategic growth.
Industry: Retail & Leisure
A logical process to follow
The geo-location process involves a few stages: obtaining the relevant address data, cleaning it, resolving the address data to latitude and longitude co-ordinates, cleaning it again and plotting the results on a map.
We use a data analytical tool that allows easy manipulation of data and also to act as a versatile container that can call on a variety of third party tools such as web services calls and statistics packages.
Displaying the Locations
Demographics and Statistical Models
The client wanted us to link demographic data to the Play Center locations: they wanted to discover locations that had a high infant population but had no Play Center within n kilometres.
Using demographics data per zip code, the centre of mass, Play Center location, spherical distance calculations and n-th nearest neighbour modelling we could identify potential opportunities of growth and of oversupply.