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The History of Big Data Analytics – Part 2: Optimization of Resources to Gain Intelligence

Community Manager Community Manager
Community Manager

In part two of the six part video series, The History of Big Data Analytics, we explore how leveraging big data analytics can free up resources to solve product issues rather than compiling and researching data sets.

 

Before today’s world of big data analytics, it took human resources to compile and research data. In 1944, Wesleyan University librarian Fremont Rider recognized an exponential trend in the growth of data. At this rate, by 2040, large research libraries would need over 6,000 catalog staff to access 200 million volumes.

 

Watch Part 2: Optimization of Resources to Gain Intelligence to learn more about how big data analytics changed how human resources are used when it comes to big data.

 

 

 

 

Watch the previous video, Time is Money.