What is Geo-Analytics?
Many businesses track a broad range of geographically dispersed data - whether it be customers, physical assets, sales, or something unique.
The traditional analytics tools often struggle to provide meaningful intelligence and insight with respect to location.
This is the problem Geo-Analytics is built to solve.
Integrating geography with traditional analytics, results in Geo-analytics.
Geo-Analytics Vs Traditional Analytics
While carrying out traditional analytics, the data is broken-down into the graphs,
charts, lists, trends and other tabular formats in an attempt to produce actionable insights.
What's missing in the traditional analytics is the 'WHERE' of the data.
'Where' of the data is nothing but the relationship between the data-point and it's location onto the geographical space.
Geo-analytics provides a new perspective to data that is simply not possible with tables and charts. Maps and spatial data can immediately help the users to discover new insights and communicate effectively with both co-workers and customers alike.
Using Maps and Geo-Analytics
While the use-cases for geo-analytics are infinite, there are handful of features that just about any business will find right out of the gate
Visualization Clustering and heat-maps, KML Layers, thematic maps and routes.
Analytics Complex filtering, numeric aggregates, dataset management and charting.
Management Territory management, automated assignment plans, mass updates and custom markers and shapes.
Who Needs Geo-analytics
Many businesses, trying to keep track of a broad range of geographically dispersed data are the target users of geo-analytics.
This means mapping and analyzing hundreds or thousands of customers nationally and internationally.
Geo-analytics can help businesses to understand which territories are over or under performing, where the high growth areas are.
Other uses include things like tracking POS (Point of Sale) data, customer feedback, or even real time social media engagement.