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Is your business growing fast? Is it becoming a tight squeeze in the office? Or maybe rents are increasing?
When relocating a business – for whatever reason – it can be hard work that requires a lot of organization.
First of all, you need to find a new location that satisfies all requirements. When this is done, you are ready to start the move! Right?
Using spatial analysis
But what if you have a choice of locations and you can’t decide which one is the best?!
Have you considered using spatial analysis?
The Blue Jacket, a professional sailing outfit, couldn’t decide where to relocate.
The management team had found two attractive spots satisfying all requirements. The existing location was in the centre of Melbourne – the new spots in the west and the east of the city. As the company did not want its employees spending energy, time and money on a long, tiring commute every day some spatial analysis was urgently required.
Which location was the best?
To find out which location was the best for the majority of employees, a Within Distance Report was created. Using eSpatial The company visually compared both proposed locations against a dataset of where their employees lived:
A 50 mile radius was set around each proposed location, as it was assumed that this distance would be a manageable daily commute.
Using filters, an exact number of employees within these radii was extracted:
- 75 employees lived within 50 miles of Warragul (east of the city).
- 52 employees lived within 50 miles of Woodend (west of the city).
eSpatial’s Color by Value functionality also gave a visual assessment of the numbers within different categories, e.g. Distance, Location Name, Department or employee role.
Overlaying the Total Employees dataset revealed all employees that lived more than 50 miles from the two chosen locations.
>HR was alerted about potential loss of personnel, based on these insights. The outcome? The location chosen was that which would result in the fewest number of employees potentially leaving the company.
Spatial analysis – using eSpatial – had solved a huge headache of a dilemma!