Data science outputs can transform business units and decisions, but is only accessible to the technical teams who can run Python scripts and notebooks.
To get an answer or result, stakeholders create tickets on the data backlog or email someone to run a script.
The data science team spends time copying charts into static reports where data and interactive elements are lost, or rebuilding
everything in a BI tool from scratch.
This process cannot be easily automated or replicated, without significant investment in having a backend and front-end team build a fully-fledged application.
Non-technical teams cannot use data science to drive actions, and the data science team spends time building ad-hoc reports, instead of focusing on core product R&D.
Datapane Teams allows data teams to transform their Python Notebooks and scripts into self-service data tools which can be used by stakeholders in their browsers to generate results. Non-technical teams can get new insights in seconds, run scenarios, and schedule reports to update automatically. The data team can focus on core product and R&D instead of reporting.
Build beautiful, interactive reports for stakeholders straight from Python.
Deploy Python scripts and Jupyter Notebooks as self-service tools for data science reporting and platform automation.