Whether you're a software business with a unique data asset or an advisory-focused business, many companies increase the value of their engagements by generating results using Python ecosystem and delivering them to clients.
Python scripts and notebooks are not accessible to non-data scientists, so generating data science insights for clients is a manual process. Client-facing teams rely on the data science team to generate individual results for each client query, which they manually package into static reports. Due to this manual workflow, this process cannot be easily automated or replicated across clients.
Most of the process of delivery results is getting the numbers and charts together, instead of focusing on providing high-value insights. Data science teams spend significant time responding to ad-hoc queries which distracts them from core R&D.
This process drastically reduces the margin of delivering custom insights to clients, and locks many companies into consulting margins: to scale this service, companies must hire more analysts and data scientists.
Datapane's report generation and automation APIs allow companies to to streamline and automate the delivery of data science to clients.
Build beautiful, interactive client-facing reports straight from Python. Wow your clients with interactive visualizations, datasets, and files.
Datapane's Script Automation APIs allow data science teams to deploy scripts and notebooks so clients or client-facing teams can generate reports self-service and automate delivery.