What is GIS?
Key Advantages of GIS
1) Improved Decision Making
Regional and location information helps companies make better business decisions. For example, a retail store can decide upon the location of their next outlet depending on location insights, geofencing services, a market analysis of customers with the help of location intelligence, among others.
They can plan marketing personas and strategies, innovate with new mediums of communication, and launch direct mail campaigns. GIS also assists governments while making decisions regarding zone planning, urban planning, conserving natural resources, and protecting the environment, among others.
2) Reduced Operational Costs
3) Enhanced Communication
Visual map data can assist companies in storytelling and help in understanding situations in a better way. This results in improved communication among different departments and professional fields. With detailed GIS insights, firms can provide their clients with better solutions and gradually increase their clientele.
Moreover, enterprises can identify their top clients and leverage spatial issues to spot regional areas where similar census apply to focus on industry development.
4) Better Way to Record Geographical Data
GIS helps in maintaining crucial geographical data and records about the old and new changes in different regions. Several firms are responsible for geographical accounting and keeping track of cultural geographies like a population census, land ownership, and administrative boundaries. Other examples include forest inventories, biological inventories, environmental measurements, agriculture applications, and more. With GIS, managing these types of systems becomes easier and seamless with full transaction support and reporting tools. Government organizations can also use mapping applications to engage with communities and improve policymaking.
In the upcoming years, several smart cities are expected to expand GIS use cases further for urban planning, disaster management, and transport management. Cloud computing, artificial intelligence (AI), and machine learning (ML) coupled with GIS analytics software is expected to expand the GIS market in upcoming years.