By: Sarah Tarraf, Director, Analytics

The stereotypical image of a data scientist is that of the harried analyst, hacking away late into the night in an unrestrained startup environment, tapping into massive amounts of data to uncover interesting relationships that explain once-unexplainable phenomena. What we tend to ignore is the more common scenario—a data scientist working in an established corporate environment with a limited technology budget and an incomplete infrastructure.

share

By Troy Burmeister & Claire Gilbert, Data Analysts

From software development to social networking, open source software powers big companies. Surprisingly, the people behind it don’t necessarily sit within the walls of Facebook, Google or Microsoft. They reside in thriving communities of active online users’ intent on fueling advances in data science, big data, and analytics.

share
Connect

From insightful research to decision intelligence, we stand at the ready. How can we help you?

What kind of pet is this? (hint: 3-letter word)

New Business
ConsumerView Suite
Sample | Panel Companies
Marketing | Media | Speaking Requests
Career Opportunities
Consumer Village Members
Survey | Study Participants
Subscribe | Articles & Blog Posts