We've worked closely with GIS Cloud to design their new Related Tables milestone feature for their GIS Cloud app, which enables users to customize their projects with virtually unlimited hierarchy and relations between data.
GIS Cloud strives to deliver cutting-edge mapping, data collection, and data management technology accessible to a wide variety of users and companies, regardless of their expertise, position, industry, or size.
The GIS Cloud Related Tables feature opens a new world of possibilities and lays the foundation for more robust workflows. Related Tables needed to propagate through the platform to a great extent, including web and mobile apps. We helped them by creating the complete architecture, a form builder for related tables, and in-depth navigation through Related Tables.
The Cloud Manager serves as a hub for the suite and is the place where organizations manage user permissions and purchase licenses and subscriptions.
The GIS Cloud Map Editor is the most powerful module designed specifically for managers and engineers. It allows them to upload, create, style, edit and share maps; create surveys, and manage data and teams.
Mobile Data Collection is a complete real-time data collection, visualization, and monitoring solution. It contains a web application, MDC Portal, and a hybrid mobile application, MDC. The mobile app’s primary purpose is field data collection, while the Portal’s purpose is creating surveys and managing collected data.
The GIS Map Viewer provides a simple way to view maps and data. Optimized for non-professionals, it enables users to access shared or public maps on any device in real-time.
In collaboration with the client, we researched and documented use cases and information architecture based on feedback from their existing GIS Cloud customers.
Because GIS Cloud is a highly customizable white label solution, we needed to cover diverse industries and scenarios with specific requirements.
What we found most impressive about the McKnight Media team was their quick understanding of our product, company and needs.
Every time we dived deeper in the product together, they were always ready to offer the best solutions, and willing to adjust their designs according to new insights we provided.
Data collection starts with a form. The GIS Cloud Form Builder only supported flat data structures prior to Related Tables. There was no way to add more information than just some basic parameters.
We've upgraded the UI to include a tree-like navigator in the left sidebar. From there, users can now build complex, nested forms exactly matching their business scenarios. This enables them to use GIS Cloud to its full potential without compromise.
The collection process involves users adding previously non-existing spatial or non-spatial entities to the forms built for a GIS Cloud project, e.g. adding new buildings to a project's map.
In this process, users are able to add data related to existing entities via Related Tables feature, e.g. regular inspections of individual apartments within a building (existing entity).
For all those tricky situations where field personnel don't have mobile internet access, the MDC (Mobile Data Collection) app supports offline mode. Updates appear in an offline queue and sync to the cloud when a connection becomes available.
We used internal resources to perform detailed UX research with our current customers and partners that would benefit from the Project to draft an initial specification. The McKnight Media team used our research findings to design the initial screens for the mobile app.
Due to their experience in similar products they were able to rapidly translate user stories into screens, following complex user flows and covering tricky edge cases.
The Map Editor is a powerful tool for viewing and editing project maps and data. We’ve streamlined the process so users can create points, lines, and polygons, use rich GIS symbology, and edit spatial and non-spatial data more efficiently.
External data can also be imported and synchronized within the editor. The GIS Cloud Map Editor supports several standard vector and raster formats.
Hovering over a dot object on the map displays a quick information tooltip with all key meta information for the POI (Point of interest).
For more detailed POI information, clicking a dot object on the map will display a right sidebar with relevant data, images, action buttons, and links to related data tables.
We’ve improved the GIS Cloud Map Editor with a power tool called Data Grid View, which houses our Related Tables feature. It gives users the ability to view data in a grid component which can be heavily customized, all the while having the map available. It’s accessible from the bottom of the screen, and if needed, can be expanded to a full-screen view.
The data grid enables customization of table column visibility and order, empowering users to optimize the view according to their needs. This enables efficient management of large data sets.
The Data Grid features a powerful filtering tool. Complex filter queries with nested conditions help reduce data shown in the data grid.
Filter options are displayed in a dedicated filter row throughout the width of the data grid. Interacting with the filter parameters will enable users quick edits or removal of filters without opening the filter editor modal.
Selecting multiple data rows reveals available bulk actions in the blue utility bar at the bottom of the data grid view. This enables quick data alteration, exporting, and reporting.
So far, our clients and partners are delighted with the power of new features, as well as the intuitiveness of the app, and we believe it will make a big difference for our (and our partner’s) business.
If you have a project that fits our niche, we’d love to chat and see how we can help.