A comprehensive solution for mapping and geographical data analysis, ArcGIS Business Intelligence Software Online is offered as a Software-as-a-Service (SaaS) by ESRI. It provides several useful tools for organizations to add and use their data for data visualization and business storytelling. The tool also has a Desktop version, which allows users to perform a range of activities like creating two-dimensional and three-dimensional visualizations, data management, and analysis.
ArcGIS pricing is dependent on the License and user type. ArcGIS pricing for students of educational institutions that have an ESRI-Campus Wide License is free. For home users, the license cost is nearly $100 a month. For Enterprise Users, ArcGIS pricing depends on the user roles that your enterprise is going for. The minimum requirement is the Creator User Type that can act as an administrator. The base Enterprise license includes 500 Service credits.
The ArcGIS Online and the ArcGIS Desktop versions, both come with a free trial for 21 days. The trial version enables up to 5 users and can be used only for non-production analysis. Post the completion of the trial period, the users can go for the paid subscription, with their data remaining intact.
ArcGIS Business Intelligence Software Features-
- Communicate using Interactive Maps- Showcase your custom locations on a map with a simple data upload process. Slice and Dice your data with drill-down capabilities to analyze the data
- Build on your data with Contextual Information- Add more dimensions to your analysis with contextual information about demography and natural resources of a location. Integrate Live feeds of parameters to make your data dynamic
- Enrich your data with the Basemaps- Wide collection of high-quality basemaps to enhance your storytelling. Be creative in your representation by choosing any pre-built basemap
- Unearth the story behind the data-Discover geographical factors and their interrelation in your data. Use smart mapping to generate Business Intelligence from your data