Data Digest: Data as Commodity, Understanding Data Scientists, Data-Driven BI
Articles discuss the new data economy and how to navigate it, finding and understanding data scientists, and a new shift in strategy when it comes to data.
- By Quint Turner
- February 8, 2016
Data as a Commodity
With the rise of big data, more enterprises are warehousing as much data as they can, though the vast majority of this data is useless to them. The result: a new data economy, where data is bought and sold like any other good. This article discusses the new economy and how to navigate it.
Finding and Understanding a Data Scientist
Data scientists are the new, hot job opening, but much confusion surrounds what they should be doing, what their skills are, and, most important, what a data scientist is. This article reviews what the position actually means and how to hire the right person.
A New Data-Driven Approach to BI
(Source: Information Age)
Despite, or perhaps partially because of, the amount of data as commodity and the vast quantities enterprises collect on their own, nearly 80 percent of business intelligence projects fail. Considering that big data is supposed to be the key to future success, there has to be a way to turn this around. This article convincingly calls for a shift in strategy when it comes to data.
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.