Data science has become table stakes for data-centric businesses. Although many companies have a traditional BI tool, these do not support advanced analytics or data science insights, so data teams use the open-source Python ecosystem to create value for marketing, sales, and operations teams.
Python scripts and notebooks are not accessible to non-data scientists, so generating data science insights for stakeholders is a manual process. Stakeholders rely on the data science team to generate individual results for each query, which they manually package into static reports where data and interactive elements are lost. Due to this manual workflow, this process cannot be easily automated or replicated.
Non-technical teams cannot access data science results and use data science effectively, so end up stuck on a backlog. Additionally, the data science team spends time building ad-hoc reports, instead of focusing on core product R&D.
Datapane's report generation and automation APIs allow the whole organization to use data science self-service to drive decisions, instead of waiting on a manual backlog. Additionally, data science teams are able to hand over scripts and reports and focus on high-value tasks.
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.