Latest: Data Science Leadership

Jul 12
5 min
Shiny, Tableau, and PowerBI: Better Business Intelligence

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.

Marcin Dubel
Jun 24
10 min
Strategic Analytics at Monash University: How RStudio Accelerated the Transformation

Similar to any other large and complex organisation, Monash University employs a wide range of data to inform decision making and monitor different aspects of their operations.

Behrooz Hassani-Mahmooei
Jun 15
5 min
Debunking the Myths of R vs. Python

Data science teams sometimes believe that they must standardize on R or Python for efficiency, at the cost of forcing individual data scientists to give up their preferred, most productive language....

Lou Bajuk
Jun 10
9 min
Building Effective Data Science Teams: Answering Your Questions

From establishing your first data science team, to growing your team, and stepping into leadership roles, check out the Q&A from the Building Effective Data Science Teams webinar audience questions

Rachael Dempsey
Jun 8
3 min
Upcoming Webinar - Incorporating R into your Clinical Legacy Workflows

When it comes to adopting open source tools into clinical processes, there are many questions that have to be addressed, such as how do we migrate legacy workflows over to new programming languages?...

Mike Stackhouse
Jun 3
19 min
Building Effective Data Science Teams

Last month’s webinar featured data science leaders from Caliber Home Loans, The Looma Project, Saturn Cloud, T-Mobile, and Warner Music Group to start to answer the question, "What does it take to...

Rachael Dempsey
May 25 2021
2 min
Centralizing your Analytics Infrastructure with eoda and Covestro

On June 16th, we’ll be teaming up with eoda and Covestro to discuss—in German—how they put their data science into production by developing a unified infrastructure.

Samantha Toet
May 18 2021
4 min
Managing COVID Vaccine Distribution, With a Little Help From Shiny

Data Driven West Virginia, in collaboration with the WV Army National Guard, built a COVID vaccine management system using Shiny to help quickly and efficiently distribute vaccines throughout the...

Jesse Mostipak
May 12 2021
7 min
Code-First Data Science for the Enterprise

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...

Lou Bajuk , Nick Rohrbaugh
May 4 2021
4 min
RStudio and APIs

APIs can dramatically increase the impact of data analytics by making real time results accessible to a larger audience. RStudio empowers organizations to both create and use analytic APIs.

James Blair
Apr 8 2021
4 min
Model Monitoring with R Markdown, pins, and RStudio Connect

Model monitoring is a key component of ModelOps, and the R ecosystem offers flexible, code-first solutions that meet the model monitoring needs of data science practitioners.

Julia Silge
Apr 1 2021
6 min
BI and Data Science: Deliver Insights Through Embedded Analytics

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...

Daniel Petzold
Mar 25 2021
5 min
BI and Data Science: Collaboration Using Data Handoffs

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...

Sean Lopp
Mar 18 2021
7 min
BI and Data Science: Matching Approaches to Applications

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.

Lou Bajuk
Mar 11 2021
11 min
BI and Open Source Data Science: Strengths and Challenges

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.

Lou Bajuk