Let’s dive into the details of data within the geospatial realm and see how geospatial data can work with and improve corporate data systems. This process is not complicated but does require some organizational rigor to make happen.
Geospatial data in its simplest representation is comprised of three different types of objects: points, lines and polygons.
Each type of object is comprised of geometry, as coordinates, and descriptive attributes. Combined, these form an entry, or row, in a database table.
Companies usually have customers, assets, locations, and supply chain. All of these can be mapped.
For example, a company may have locations all over the world. Each of these locations is a point on a map. Each point is also an entry in a database with attributes such as address and ID.
Companies have many data systems that keep track of their assets, supply chain, customers, and other business metrics.
These systems include organizational, financial, and business operations databases and can be linked through key data attributes such as location ID.
Analytics through Excel and Tableau result in bar graphs and pie charts, which show a limited relationship. When a geospatial database is added, additional analytics become available. A map can show profit and loss and potential new locations through the geospatial lens, resulting in more powerful business intelligence tools and holistic reporting.
An uncomplicated process involving some organizational rigor results in a well thought out data system viewed through geospatial applications.
These provide intuitive examinations of location profitability, growth potential and more.
The geospatial lens that Integral GIS creates provides this success and significance.