Neudata

Back to basics: Geolocation data (Part 2/3)

In the second part of our geolocation data primer, we provide an overview of the technologies and challenges associated with contextualizing raw location data.

Part 1: Location data types
Part 2: POIs and geofencing
Part 3: Regulatory trends

Friendly PSA: the following information is intended as a general primer on location intelligence. If you are already a sophisticated user of this data (or are even just passably familiar with it) then there is a chance that you will not learn anything new here.

In the first part of this series, we introduced the ways in which location information (ideally coordinate-based) is generated and subsequently made available to third parties. However, raw coordinates only start to become useful once we are able to locate them in a real-world setting.

In this article, we are going to use Starbucks as a basic example. The retailer is

Request a Neudata Intelligence free trial

We'd like to know a bit more about you and your business, so we can deal with your request efficiently.
We are committed to securing your personal information.

We use your email address as part of allowing you access to your account and in order to provide you details with our products that might be of interest to you

Author

Amy Dafnis Analyst (London)