BI Tools

RStudio’s modular platform augments an organization’s investment in self-service BI, providing richer visualizations and deeper data science capabilties. Learn more.


How To Augment Tableau With R & Python - A Webinar and Case Study from Sweden

November 15, 2021 | Filip Wästberg, Jesper Ludvigsen and Vilgot Österlund

In an upcoming webinar on November 17th, Solita will showcase how they successfully combined the strengths of RStudio and Tableau at one of Sweden’s largest government agencies.


Embedding Shiny Apps in Tableau Dashboards Using shinytableau

October 21, 2021 |

This post introduces and walks through shinytableau, a package that allows you to create dashboard extensions that embed Shiny apps in Tableau. Users can take advantage of R's powerful visualization and reporting capabilities when working in Tableau dashboards.


RStudio Connect 2021.09.0 Tableau Analytics Extensions

October 12, 2021 |

RStudio Connect introduces support for Tableau Analytics Extensions, an integration that enables you to create R or Python HTTP API extensions for use in Tableau workbooks.


Shiny, Tableau, and PowerBI: Better Business Intelligence

July 12, 2021 |

We compared the features and capabilities of Shiny, Tableau, and PowerBI for delivering insights in enterprise organizations. This is our opinion on how they stack up.


Code-First Data Science for the Enterprise

May 12, 2021 |

While you may already be a practitioner of code-first data science with R or Python, chances are you work within a larger organization with many analytic tools. In this post, we give you some advice on navigating this landscape, and convincing others in your organization of the value of code-first data science.


BI and Data Science: Deliver Insights Through Embedded Analytics

April 1, 2021 |

Continuing our series on self-service BI tools and code-first, open source data science, we explore embedded analytics and why they are a critical way for a data science team to deliver insights. We also discuss the unique needs that will be demanded of data science teams as they deliver insights that are secure, scalable, and flexible to multiple end user’s needs.


BI and Data Science: Collaboration Using Data Handoffs

March 25, 2021 |

One powerful approach for BI and data science collaboration is to share augmented data. In this post we cover the details of this technique and include an example where data scientists supply BI teams with forecasts and calculated columns.


BI and Data Science: Matching Approaches to Applications

March 18, 2021 |

In this post, we'll provide some insights from organizations who have used both types of tools and give some guidance about which you should use when.


BI and Open Source Data Science: Strengths and Challenges

March 11, 2021 |

Continuing our series on self-service BI tools and code-friendly, open source data science, in this post we dive into the strengths and challenges of the different approaches.


BI and Data Science: The Best of Both Worlds

March 4, 2021 |

In many large organizations, Business Intelligence and Data Science teams compete for budget and mindshare. By focusing on how data science can both augment and complement BI tools such as Tableau and PowerBI, these teams can unite on their common goal: delivering data-driven insights for better decision making.