Data scientist using R and Python

BI Analysts

Leverage the insights of your data science team in your BI dashboards

As a BI analyst, you know the business and ask the right questions. BI tools help you answer those questions quickly, but can fall short when it comes time to make critical decisions.

When your organization uses RStudio Team, you can benefit from all the great models, forecasts, visualizations and other insights your organization's data science team creates.

Learn more:

  • Visualize and explore data that has been enriched using cutting edge analytic approaches based on R and Python via Data Handoffs.
  • Enhance Tableau calculated fields by calling R and Python APIs, to provide advanced analytics and flexible data pipelines on demand in the dashboards you build.
  • Easily embed custom Shiny visualizations and applications in your BI dashboard, to extend Tableau's palette of visualizations and incorporate the great visualizations your data science team creates.
  • And when your BI tool simply isn't the right solution, collaborate with your data science colleagues to solve the thorniest problems with fully custom analytic applications built and deployed outside of the BI environment using RStudio Connect.

Augment your BI tools with Serious Data Science

While data science and BI teams share the same goals, to help their organizations make better decisions by getting the most valuable insights possible out of their data, each approach has distinct strengths and challenges. By leveraging Data Science tools to augment your BI investments, you can maximize the value of the insights you deliver to your decision-makers.

RStudio helps break down analytic silos and enhance an organization's analytic investments, so that all members of the data organization (BI analysts, data scientists, ML engineers, data engineers) can collaborate, get deeper insights, support better decision making and drive results.

RStudio Team not only provides a single home for data science teams using R and Python, it enables Data Science teams to augment the great work that BI teams provide:

  • Enrich your data using R and Python, for visualization and exploration in BI tools. Read more about Data Handoffs
  • Build tailored applications using open source frameworks such as Shiny, Dash and Streamlit, and share them with your business users to complement standard BI reporting. Read more about RStudio Connect
  • Securely call R and Python APIs from Tableau dashboards, to make the models, forecasts and other insights from your data science team available on demand. Read more about RStudio Connect and Tableau
  • Easily embed interactive Shiny applications in Tableau, to augment Tableau's standard visualizations and leverage the visual insights your data science team develops. Read more about ShinyTableau
  • Augment your BI tools existing R and Python integrations: Many BI tools have some form of integration with R or Python. RStudio Teams provides a secure, scalable, collaborative development environment for your data science teams to develop the open source code for deployment in your BI tools, as well as a way of managing your open source package use to ensure consistency and reproducibility across all your analytics platforms.

To learn more...

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