Photo by Zoltan Tasi on Unsplash In a recent series of blog posts, we introduced the idea of Serious Data Science to help tackle the challenges of effectively implementing data science in an organization. We then focused on the importance of delivering insights that are credible with your stakeholders and ...

Does Your Data Science Lack Credibility? In a recent post, we defined three key attributes of a concept we call Serious Data Science: Credibility, Agility and Durability. In this post, we’ll drill into the challenge of delivering credible insights to your stakeholders, and how to address that challenge. Ultimately, ...

Data Scientists Face an Existential Crisis The term data scientist has always been a bit controversial. William Cleveland coined the term in 2001 to advocate the practical use of statistics in other technical fields and believed that use warranted a n...

Data science is now a hot area of investment for many organizations. Countless blogs, articles, and analyst reports emphasize that effective data science is critical for competitive advantage, and many business leaders believe that data science is vital for an organization to survive, much less thrive, over the next several ...

Photo by Djurdjica Boskovic on Unsplash If your data science team experienced an abrupt transition to working at home, it may be a good time to rethink their development tools. In this post, I’ll talk about why laptop-centric data science gets in...

A new version of sparklyr is now available on CRAN! In this sparklyr 1.2 release, the following new improvements have emerged into spotlight: A registerDoSpark() method to create a foreach parallel backend powered by Spark that enables hundreds of exi...

There’s an old saying (at least old in data scientist years) that goes, “90% of data science is data wrangling.” This rings particularly true for data science leaders, who watch their data scientists spend days painstakingly picking a...

Balancing the twin threats of data science development Data science leaders naturally want to maximize the value their teams deliver to their organization, and that often means helping them navigate between two possible extremes. On the one hand, a tea...

The Root Problem: We Don’t All Speak the Same Language Organizations across the modern business world recognize the critical importance of Data Science for competitive advantage. That recognition has driven Glassdoor to rate Data Scientist as one...

Recently, we were joined by the smart folks at Roche & Novartis to present a webinar on effective data visualization. You can watch the recording of the full presentation here. It was the latest installment in a series of webinars highlighting indu...