Work together more efficiently with collaboration.

On Team and Enterprise versions of eSpatial, you can collaborate online with colleagues sharing maps, working collectively on the same live data.

Collaboration that shows the full pictureCollaboration Notifications

All eSpatial maps are based on your data, whether it’s an Excel spreadsheet, CRM data or any database of information being uploaded and plotted on a map. The data plotted is known as a dataset. This is the core of the map – its raison d’être. eSpatial allows different users to collaborate on, edit and update the same dataset online.

Users can share entire Workspaces of maps with individual team members. In-App and email notifications will alert you when maps and Workspaces are shared with directly with you, or when changes have been made to them. Allowing greater collaboration and keeping you and your team informed.

Why collaborate on maps?

Collaboration is extremely useful when there are multiple channels of data coming in at different times. For instance, team members of a nationwide sales team could add their own data – latest sales or leads – to a dataset, on a daily basis, thus creating a complete, up-date-picture of the whole market. All users who have access to the dataset (but not necessarily editing/updating privileges) can view the updated data. This type of map is therefore a great way of disseminating up-to-date, mission-critical information to a wide audience.

Individual analysis

If a dataset is shared with another colleague, that dataset can also be analyzed by that colleague. The mapping analytics tools available in eSpatial include multi-point routing, heat mapping, radius maps and bubble maps. Allowing team members access to datasets gives colleagues the freedom to carry out their own analysis, rather than relying on one person to do it for them. Their analysis can, of course, be shared or kept private.

Add your own unique data

If a colleague allows you access to a dataset within eSpatial, you can then create your own workspace using that data and then overlay your own data onto this. This allows you to analyze the impact of a colleague’s data on your own data. Every shared eSpatial map has therefore the potential to provide unique insights to different viewers.

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