How enterprises define the role, how to many hands make data science easier, and defining the data science team.
- By Quint Turner
- April 13, 2016
Most meaningful business decisions are based not only on data but on a combination of fact and opinion.
- By Barry Devlin
- April 12, 2016
A new survey sheds light on how and why enterprises are using embedded analytics, and shows what developers say is ahead for the technology.
- By James E. Powell
- April 11, 2016
Creating a culture of curiosity can pay off big in your analytics.
- By Pete Reilly
- April 8, 2016
Articles examine current causes and solutions of univerified data, using distributed data lakes, and how to improve data analytics with a converged infrastructure.
- By Quint Turner
- April 8, 2016
The performances of Amazon and Cloudera stand out from the pack in Gartner's new data warehousing Magic Quadrant. Both are oh-so-close to breaking through into leadership roles.
- By Steve Swoyer
- April 7, 2016
Articles around the Web offer techniques and tactics for telling stories effectively, best practices for data visualizations, and how to create strong outcomes from your visualizations.
- By Quint Turner
- April 7, 2016
Finding analytics talent is increasingly difficult, so companies are looking to build skills from within. Here are strategies you can use in your own enterprise.
- By Chuck Currin
- April 7, 2016