Share, monitor, and report.
Create and store point-in-time views of your Dash apps.
With the Dash Enterprise Snapshot Engine, you can create and store point-in-time views of your Dash apps and create on-demand reports with the click of a button. With these reporting capabilities, you can share interactive web views or build on-the-fly PDF documents, trigger reports programmatically based on timing or events, or enable users to take a snapshot on-demand through the app interface.
Sharing is caring.
Generate interactive web pages and PDFs to easily share updates and reports with others. Customizable report views ensure you show the right information to the right people.
With Dash Enterprise, you can trigger reports programmatically based on timing or events, or enable users to take a snapshot on-demand through the app interface.
End users can create and annotate snapshots at the touch of a button. Build fully interactive UIs so your users can interact with the app, then build reports based on that view for later use or sharing.
Build your archive.
Ever wish you could go back and time and see what went wrong? With Dash Enterprise, you can schedule your regular report generation to be archived in case you need it. Instant time machine? Check ✓
Monitor your apps.
When things go wrong (or really right), you need to know about it. With Dash Enterprise you can monitor your data for issues and then trigger an alert to get the right eyes on it—and fast.
Seamlessly link your analytics and reporting workflows together to generate reports of the data you need, presented in the way you need it.
📸Create reports in the form of printable PDFs or interactive, analytic web apps.
📸Automate reporting and monitoring streaming data flows.
📸Historical archiving, versioning, and status tracking, facilitate auditing and compliance and create institutional memory.
See Dash in action.
Sign up for our next Dash Live Weekly demo session to learn more about our Dash Enterprise offering, including industry applications and all the latest tips and features on how to operationalize your data science models.