NASA is using big data to make complex knowledge more readily available. Learn how graph visualization can help turn large corpus of documents into concrete insights.

A database of lessons learned

Even in a mature and knowledge-driven organization like NASA, finding an answer to a common business issue can be frustrating. Past surveys at NASA have shown that most people have trouble finding the…

Here are some of the new entries featured in our upcoming Monday digest. They were posted today.

Also, we have two upcoming events:

• 5 Things Your Organization Needs to Succeed in Data Science - Webinar, Teradata
• Analytics - Workshop in Redmond, WA - Microsoft

Featured articles posted today (selection)…

The list was originally published here. Another list that includes the ugly pie chart below can be found here. Finally, this article tried to convince you to to use pie charts,…

Brick and mortar retailers invest a lot in environmental factors. Lighting, temperature, music, and even how the items are spaced on a shelf are known to affect purchase decisions.

But online, environmental factors do not affect buyers, right?

Wrong.

Very, very wrong, according to website optimization studies that prove otherwise. In fact, environmental elements affect web visitors as much as their offline counterparts. The only difference is the type of…

In this particular guest attribute, Eric Haller of the worldwide DataLabs of Experian offers his views on the growing need for information scientists. Info laboratories are led by him in Brazil, UK & america that support development & research initiatives throughout the Experian business. Eric had tactical markets including retail banking, authorities, capital markets and web delivery in addition to responsibility for the direction and increase of on-line credit profiles for Consumer…

All businesses that own/control websites, blogs and web and/or mobile applications know the importance of having web analytics tracking code. Nonetheless, the implementation of said systems is more complex than most imagine it to be, leading to major and minor flaws in the instrumentation of the sites and applications…

Most people (including myself) are drawn to Julia by its lofty goals. Speed of C, statistical packages of R, and ease of Python?—it sounds two good to be true. However, I haven't seen anyone who has looked into it say the developers behind the language aren't on track to accomplish these goals.…

Enjoy this great Friday reading!

• Proposal for an Apprenticeship in Data Science
• How to Become a Data Scientist for Free
• Vertical vs. Horizontal Data…

XO Communications

I wrote a series of blog posts on Bayesian modeling with R and Stan.

• Bayesian modeling with R and Stan (1): Overview
• Bayesian modeling with R and Stan (2): Installation and an easy example…

A market basket analysis or recommendation engine [1] is what is behind all these recommendations we get when we go shopping online or whenever we receive targeted advertising. The underlying engine collects information about people’s habits and knows that if people buy pasta and wine, they are usually also interested in pasta sauces. So, the next time you go to the supermarket and buy pasta and wine, be ready to get a recommendation for some pasta sauce!



A typical analysis goal…