Align BI and data science teams with Posit
We understand your data challenges
Focus on guiding and supporting their teams to solve meaningful analytic problems for the business. When their analytics teams fail to collaborate and share work efficiently, that means missed insights, lost opportunities and unnecessary expense.
Are frustrated when their work competes with the BI teams, or they are forced to awkwardly use unfamiliar BI tools to get their insights out to a wider audience.
Enjoy the power and ease of use of self-service BI tools but struggle with the limitations of their tools, including inadequate data science and machine learning capabilities, depriving them of deeper insights into their data.
Built for collaboration to drive R&D
All we know about enterprise data science. All in one place. Posit Team is a collection of tools designed to help your organization make the most of your investments in R and Python.
Posit Connect (Legacy 09-01-23)
Share data science content across your organization. One button deployment of Shiny applications, R & Python APIs, Quarto and R Markdown reports, Jupyter Notebooks, and more.
Enable collaboration and enhance productivity across your multilingual data science team with a centralized infrastructure while allowing your team members to use their development environment of choice.
"Power BI is an easy to build visualization tool widely used in our organization to make data accessible to non-data people. This is a really great tool when we want to create a dashboard for trends and track some metrics. But it becomes very difficult when we want to enable high levels of user interactivity with the dashboard. That’s where R Shiny helped us to build intuitive and highly interactive user interfaces."
Marketer, Large Technology Firm
“The R ecosystem has vast power to quickly solve problems. With R, I can incorporate nearly any AI/ML model into a dashboard or Shiny app, without being reliant on proprietary data science tools. Executives can be confident I am using the best analytic approach for a given problem, and I can rapidly apply new approaches as they become available.”
Director of Data Science, Heaven Hill