Location analysis and geographic information systems allow you to incorporate geographic data in business intelligence to find relationships between people, events, transactions, objects, and assets. Although most corporate data already includes geolocation information, only a few companies use it for business intelligence. Which is too bad, since , maximizing your business with smart gis mapping is easy and affordable.
How Does Gis Analytics Enhances Established Business Analysis Methods?
Organizations already possess a massive amount of data. Why else add location data? An estimated 70–80% of business data already contains location information. Besides, any business is located somewhere. By adding a geographic context to business intelligence, you can get a lot of useful information.
Today, with the advent of the Internet of Things (IoT), you can also talk about connected machines, people, and analytics on the periphery. IoT literally forces companies to rethink the use cases of their solutions. Crewless vehicles, Uber, drones – for all of them, the location has crucial importance.
Geolocation information is beginning to play an essential role in many aspects of business intelligence, so organizations should pay more attention to such data and gis systems.
We do not just collect geodata arrays and present information in simple layers on a map. An additional advantage is the ability to take into account distance, calculate average time and average mileage of a journey, combine location data and various analytical techniques (for example, clustering) for more accurate customer segmentation, as well as use spatial data in predictive and prescriptive analytics.
What Business Tasks Do Gis Mapping and Analytics Solve?
It is also worth noting cases in which location data play a significant role. This may be, for example, insurance companies whose prices depend on the location of the facility, medical organizations that want to assess the demand for services using demographic data, or transport companies such as Uber and Lyft that analyze the use of their services.
- For SAAS, GIS-analytics is primarily an extension of business intelligence. Gis mapping applies to all types of industries. As well as to all functional units within the organization. Therefore, you need to focus on projects or use cases that meet the immediate requirements and give the maximum return. It is equally important to take into account the complexity of data preparation, the availability of necessary skills and competencies for employees, as well as data confidentiality, safety, and ethical issues. In general, GIS analytics can be used for the following:
- Business development enables companies to make theright choice of site or channel. Expand your market presence, attract new customers, and determine the driving force of future growth with the help of quick search tools and evaluate all potential new locations or online channels.
- Improved customer service or targeted marketing: Combine location and accessibility data, context, and spatial proximity to formulate the most appropriate marketing offers or improve your customer experience. This will help move towards a proactive approach, adapting products to customer needs.
- Optimization of business processes. The ability to add a geographical context to various assets of the production, assembly, logistics, distribution, and service processes allows you to optimize business processes and increase the efficiency of organizations.
And that’s it for now!