Big data poses new challenges to organizations as found by research firm IDC in its 2018 white paper “Data Age 2025”:
- Exponential growth of data volumes
The global datasphere (that is all data created, captured and replicated) could increase from 33 zettabytes in 2018 to 175 zettabytes by 2025. To put that in perspective, this would correspond to watching the entire Netflix catalog 489 million times. - Increased complexity and speed of change
With the digitization of our lives and organizations, IT environments are becoming more complex and ever changing by nature. - Leveraging available data
According to the same report only 32% of data available to enterprises is put to work. The remaining 68% goes unleveraged.
In order words, organizations do not get the complete picture of what is happening and miss on very valuable information represented by this data. And we are not even talking about data that is generated but not made available.
The need for a new automated approach
However fresh tools and approaches can represent an important part of the solution. A way to tackle these challenges is to adopt an automated real-time approach. Using machine learning and minimum user input, systems can be designed to autonomously process streamed data and immediately present the results of direct analysis to the users.
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