In improving analytics, we often focus on obtaining more powerful platforms and bigger data. We neglect the second half of the equation: the abilities of our business users.
- By William McKnight
- June 12, 2017
Because there are many ways in which blockchain can be implemented, it is important to evaluate the security of individual uses.
- By Brian J. Dooley
- June 8, 2017
Develop compelling infographics, how interactivity can enhance storytelling, and learn to code a chart with D3.
- By Lindsay Stares
- June 7, 2017
MBA programs adding data science classes, Google fights spam with machine learning, and the pros and cons of using machine learning in hiring decisions.
- By Lindsay Stares
- June 6, 2017
Although big data continues to grow in importance, it may be simple, structured data that will give you all the answers you need.
- By Nicole Hitner
- June 6, 2017
Planning to hire a data scientist? Your best candidate possesses a combination of analytical, storytelling, and technical skills.
- By George Firican
- June 2, 2017
When you should start using machine learning technology, a model for internal data science training, and what soft skills data scientists need.
- By Lindsay Stares
- June 1, 2017
Blockchain technology solves problems of auditability, security, and provenance for a variety of purposes, but it is not a panacea for data management.
- By Brian J. Dooley
- June 1, 2017