It takes a degree of skill to derive useful data from millions of Medicare claims.
Over the last two decades, supercomputing allowed new skill levels in interpreting seismic data of below-ground structures.
Using a nifty algorithm, Work for Pie ranks coders by skill, based on quantitative data pulled from various online technical communities, including GitHub, Bitbucket, Stack Overflow and Hacker News.
Big Data also brings new skill-set challenges.
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While big data is an extension AND augmentation of traditional analytics, it requires data scientists with a new skill-set.
Even with tools like Tweetdeck and HootSuite, which help you manage your searches and hashtags, it takes time and skill to sift through and mine the data.
Skill in mathematics, statistics, modeling and data mining are of course essential.
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Apparently there are few geologists in the world who have the skill to interpret the logs and read the seismic data from the cretaceous to establish exactly what has been found 6 miles down.
Fast approval of new drugs depends partly upon presenting good data from clinical trials a basic skill of a competent drugs firm.
The explosion of data in the digital universe is creating a skill gap and is opening up many new career opportunities in management.
The key skill that will be in need of growing is that of the data scientist.
Adaptive learning is a method of education that seeks to personalize learning by using sophisticated algorithmic technology to continually assess students' knowledge, skill and confidence levels and design targeted study paths based on the resulting data to bolster students' understanding in the areas where they need to improve the most.
ENGADGET: McGraw-Hill reveals the SmartBook: an 'adaptive' e-book for students
While Entelo, Identified, and TalentBin are just the latest examples of using big data for recruiting, they point to the importance of personal branding as a key career skill in the workplace of the future.
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