As per the current leverages in geospatial driven data insight, businesses can efficiently charter into areas such as customer engagement, retention and also personalization.
Us living in a connected age which ranges far and wide from small hand-held smartphones to the very car navigation systems and even the industrial devices we use to execute various tasks almost everything happens to be connected online one way or another. Internet of Things (IoT) has to be greatly thanked for making such connections possible by the process of collating data in real-time and usage of artificial intelligence analytics helping one to make sense of the derived data and also help sketch out patterns and help mine insights.
We are further striving at being able to exploit geospatial data relationships through IoT for our advantage whilst gaining actionable insight on any of the instance occurring anywhere this is where location intelligence marks its grand entrance.
Location intelligence has become more and more informative and the strategic insights which are derived from geospatial data upon which it is built on GIS tools. Apart from the field of geospatial data, location intelligence too is heavily reliant on the inputs from transactional data apart from sociodemographic data and also data from footfall traffic or even the points of sale data than can then ben used further for deep geospatial analysis.
The first instance that has been recorded for the usage of location intelligence may very likely be attributed to the success of John Snow on the town of London in the year 1854. John Snow had created a map in which he had implemented the usage of geolocation to help determine the cause of the prevalent cholera epidemic which was later on then discovered to be from a well where many of the residents most of them being sick had been repeatedly going to fetch water and also establish the connection of all sick people to that one single water pump.
Hence one may state that Location Intelligence though requiring vast improvement has helped accomplish many a task and also help many organizations pinpoint the root cause of losses or errors and other missing aspects in a faster quicker manner with lesser efforts and expenditure.
