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Datanami’s #1 Big Data Trend of 2019: Data Management is Still Hard

Author: Tom Hoblitzell | 3 min read | October 29, 2019

It’s often said that data is the new currency of the 21st century—which means that the more you have of it, the better. Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights.

Competition in the big data space is fierce, and trends are changing fast. In order to stay on top of the field, organizations need to be apprised of the latest big data developments, as well as the landscape that lies ahead.

Back in January, the big data news portal Datanami put together a list of “10 Big Data Trends to Watch for 2019.” Now that we’re firmly in the back half of the year, we’ve decided to go over each of Datanami’s 10 big data trends to see how they stack up with our own observations. Keep reading for our analysis of Data Trend #1: Data Management is Still Hard.

Perhaps the hardest part of big data analytics, according to Datanami, is assembling the data in a centralized location in the first place.

Extracting data from multiple locations requires a solid technical skill set, not to mention a canny grasp of office politics in order to access the information locked away in data silos. One survey reports that a full 80 percent of businesses experience moderate or severe difficulties with data silos within their organization. (More on that later.)

Information not only needs to be extracted, but also cleansed and transformed before it’s loaded into the data warehouse. Unfortunately, much of this is tedious busywork that occupies too much of data scientists’ time and effort. Just 20 percent of data workers’ jobs actually involves cold, hard data analysis, with the other 80 percent spent on administrative tasks like finding, cleaning, and reorganizing information.

Any data management strategy worth its salt must be able to address and solve these problems. Our white paper “Business Intelligence or Business Inconvenience? Disconnects in Today’s BI Solutions” discusses the reasons why so many business intelligence projects fail—and how your company can avoid the same fate.

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