Location data is increasingly important as organisations analyse their users' behaviour over time and by place. Joined to external data sources the value derived will lead to the competitive advantage required to stay ahead of the pack.
Location is not just a set of co-ordinates however. Whilst it can be as explicit as that many clients think of location in more generalised ways.
When reporting a road traffic accident a claimant may describe the incident as happening on the "PearTree Roundabout on the A40".
Fraud investigators suspicious that this is one of a number of fraudulent claims in the area need to be able to use their knowledge & intuition to track down similar incidents.
An "Enterprise level Google" means of searching through free form text, structured data and photo/video metadata for example; internal and external of course.
And then the location intelligence to analyse the data to predict potential fraud. Finally, once the evidence proven a means of changing company information e.g. "Watchlists".
This is where you can look to a combination of technologies/solutions to provide an answer.
Data has moved beyond being ‘just data’ into what is now a variety of different data types. We have structured data in databases, unstructured data in the form of video or emails, time series data related to a specific point in time and also location-based data very logically based upon location. Somewhere in between pure geolocation data and time series data sits Location Data Management (LDM), a concept that describes the need to change specific company information in specific locations at specific times.