It’s essential to adopt a broader scope about data and analytics, create a very flexible and agile IT framework, and build a strong foundation for data science. It’s no secret that digital technologies generate enormous volumes of data. According to various industry estimates, data volumes double about every two years. At the same time, however, only about half a percent of data is currently being analyzed.
“The challenge with big data is not the data,” says Dorman Bazzell, vice president and America’s practice leader for Insight & Analytics at Hitachi Consulting. “There is plenty of data. The challenge with big data is developing a set of meaningful use cases that address key business challenges.”
Author: Samuel Greengard