Self-service BI is helping enterprises spread analytics among more users, but it's not without its problems.
- By Steve Swoyer
- September 8, 2016
When technology historians try to pinpoint the precise period when the cloud really took off, they'd do well to focus on late July and early August of 2016.
- By Steve Swoyer
- September 7, 2016
These articles explain why leftover “garbage” data sets actually have value, why you should be skeptical about data lakes, and what to consider when integrating cloud computing to your enterprise.
- By Quint Turner
- September 6, 2016
Companies in the U.S., Canada, Mexico, and elsewhere might not be thinking about the European Union's General Data Privacy Regulation, but they should be.
- By Steve Swoyer
- September 6, 2016
Today’s articles discuss moving analytics to the site of data collection, finding new target markets with big data, and assigning decision rights for agility with big data.
- By Quint Turner
- September 2, 2016
How to stop employees from leaving with enterprise data, avoid seeing causal connections that aren’t there, and create better predictive models by combining diverse data.
- By Quint Turner
- September 1, 2016
DevOps addresses the challenge of engineering, deploying, and maintaining software for production use. IBM says we need something similar for advanced analytics and data science.
- By Steve Swoyer
- September 1, 2016
Today’s articles explain the role of AI and machine learning in modern cybersecurity, the broad benefits of big data analytics, and a path for becoming a data scientist focused on statistics, analysis, and problem-solving.
- By Quint Turner
- August 31, 2016