In the world of finance, speed is critical. Your analysts need to generate insights from your data faster than the competition and put that information in the hands of decision-makers as soon as possible.
Design and deploy data products rapidly. Your data scientists can develop a report or app, then deploy it to RStudio Connect with a few clicks, making it available for a wider audience in minutes, without having to worry about Docker images or package versions.
Financial institutions need to support R and Python , but they don't want to purchase and maintain multiple different data science platforms.
R or Python, it doesn't matter.
Develop in RStudio, Jupyter Notebooks, Jupyterlab, or VS Code, then publish all of your work in both languages via Shiny, Dash, Flask, R Markdown, Streamlit, Plumber, Bokeh, and more.
Open-source software is powerful, but it introduces technical, security, and regulatory challenges that are unique to financial institutions.
Satisfy IT and regulatory requirements with RStudio's toolchain. RStudio Team provides the tools you need to make sure your work is scalable, secure, and auditable.
RStudio open source and professional products allow Two Six Capital data scientists to slice and dice billions of rows data on the fly, eliminate manual processes, explore unseen business drivers, and communicate findings effectively to colleagues, co-investors, and business partners in a format they can easily understand and, then, communicate to other stakeholders.
Topics we help financial institutions work through:
Interoperability between R and Python, time to value on financial analysis, leveraging open source tools in production while meeting security and audit requirements.