RStudio is becoming Posit in October. Learn more at posit.co
RStudio is becoming Posit in October.
Learn more at posit.co
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Academy
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Workbench
RStudio Connect
RStudio Package Manager
Additional Talks Community
BI & Data Science Deliver Deeper Insights
May 7, 2021
Appreciating the relationship between Data Science and business intelligence has been the subject of debate. Organizations, large and small, have taken various paths on the quest for better, more data-driven decision making. Historically, many large organizations were dependent on centralized IT-driven projects to develop reports and dashboards. As pressure has increased to become more agile in creating and delivering insights to improve how decisions are made, organizations are eyeing self-service BI tools and open source Data Science frameworks.
Often these companies see BI as collecting data to understand the past, and Data Science as way to help anticipate future events. However, many firms are leveraging Data Science to both augment and complement their BI investments. While BI is a good initial step, Data Science is needed to realize deeper insight.
Outlook Series' Michael Lippis interviews Lou Bajuk to gain RStudio's perspective on BI & Data Science. Lou is a Sr. Director of Product Marketing at RStudio.