How many times has your mobile device or favorite app asked for your location? Location tracking is nearly ubiquitous in a world with almost 2 billion smartphones. When applied correctly, this type of geographic data can be used by applications to greatly enhance the end user experience and deliver a better overall product.

With all the geographic data out there today, maps have the potential to provide tremendous business insight and help facilitate problem solving. Data visualized in maps is useful across nearly any industry or job function, and embracing geospatial analytics, can help organizations of all types visualize and interpret valuable data through a whole new lens.

Below are three ways that geospatial analytics can improve enterprise reporting:

It encourages data discovery

Maps are naturally engaging. They allow users to visually explore multiple datasets through a single, intuitive interface. MicroStrategy makes it easy to customize geographic visualizations by leveraging area or density map types, enabling data clusters, or modifying marker types.

Of course, when paired with other charts and graphs, maps can help users dig deeper into specific trends or topics. Maps can be used to filter data in other visualizations, or simply get a different perspective on the data at hand.

It lets users drill down into more detail

MicroStrategy makes it easy to zoom in and out of various views—allowing users to drill down into specific areas and then shift focus back to a world-wide view. Out-of-the-box selection tools allow users to draw around areas of interest in order to refine the scope of their analysis.

MicroStrategy allows users to adjust their visualizations by adding various filters—enabling them to focus their analysis on a specific region of the world or limit the data shown to the top 10% of values. Maps can also leverage dynamic thresholds that visually group and identify data points on the basis of metric values.

It helps provide context

Maps are the ideal type of visualization to use to tell stories, because they can relate location-specific information with other data types. Maps also merge crucial information, such as revenue, cost, or productivity together with geographic data so businesses can get a better perspective on their performance as a whole.