Data Digest: Focus on Data Analytics and Data Scientists
How to avoid data analytics traps, the reason data scientists are necessary for your storage infrastructure, and how to have effective data science without a data scientist.
- By Quint Turner
- March 9, 2016
Data analytics is not a cure-all, but it can work miracles if used correctly. Teams with effective analytics are doing more with less, and your enterprise can, too, if you avoid five of the most common traps of data analytics.
Read More at Information Management
As storage infrastructure gets more complex, more problems involving the location, the analysis, and the insight data can bring will crop up. That, and for other reasons, is why this article calls for data scientists to become the new backbone of the increasingly complex storage infrastructure.
Read More at Datanami
Of course, if your enterprise does not have an official data scientist, it is still possible to gain much from data science. This article is all about building an effective data science team even without the cornerstone scientist.
Read More at Forbes
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.