Are you a data scientist or a decision scientist?  Interesting question recently raised by Deepinder Dhingra, head of products and strategy at Mu Sigma in his article ‘Data science’ misses half the equation: an argument for ‘decision…

Guest blog from David Lefkowich at FreeSight

Today’s world is split-second. Whether you’re pitching an idea, selling a product, or presenting last quarter’s results, if you don’t grab your audience’s attention in the first moment, you are beat.

The problem is that our focus on speed and split-second sound bites doesn’t allow us time to validate the…

Summary:  NIST weighs in on the Internet of Things to create a common vocabulary and development roadmap.

In July we wrote about the 7 volume Big Data Technology Roadmap being developed by the National Institute of…

Guest blog and great infographic from Matt Zajechowski

It’s no secret that analytics are everywhere. We can now measure everything, from exabytes of organizational “big data”  to smaller, personal information like your heart rate during a run.…

This article is no longer available. We apologize for the inconvenience. To read more about what data scientists do, click here. The following articles are also useful:

• Data Science Compared to 16 Analytic Disciplines…

Guest blog by Evelyn Hylton…

Summary:  Just when you thought there was nothing new under the sun in response modeling, surprise, along comes Uplift Modeling.

Tools and approaches to response modeling are so fully explored and…

Guest blog by Bob DuCharme

Complete with a dot org domain name.

If you're starting out in Data Science this is a good question to ask yourself.  After all you want to be immediately employable and also be efficient with your own time.

Cheng Hang Lee took on this question in an article by this same name earlier this year and has a fairly comprehensive discussion of the pros and cons.  Some highlights:

The Case for R

R has a long and trusted history and a robust supporting community in the data…

I know this is an old joke in the BI community but I couldn't resist.  I was recently forwarded an article on the continued popularity of Excel in the BI community consisting of quotes from 27 experts saying how great and how relevant Excel remains.

We do categorize BI as static and historical as opposed to forward looking predictive analytics but I bet it's still true that Excel is a very widely used tool even by folks that…

Summary:  Do you think we can replace Data Scientist with software?

Talk about a fraught concept, this one ought to give you the willies.  I don’t mean to be a Luddite about the magical abilities of technology but the concept here is to replace data scientists with software.…

Guest blog by Jenny Brown:

Big Data is moving ahead with great strides in 2015 and is being used and represented across companies globally. The adoption rate of this…

Guest blog by: Dr. Charles “Chuck” Noon, a professor and Department Head of the Haslam College of Business at the University of Tennessee, Knoxville.

Peter Brand, the fictional sports analyst in the…

Guest blog by Jenny Brown

As per a recent study by Accenture Analytics, enterprises that are starting upon and completing their…