Business intelligence (BI) initiatives are becoming more complex to account for larger data loads. According to new research from IDC, big data is soon to grow as the proliferation of devices like tablets and smartphones leads to more rapid data migration and creation.
Big data lacks review
IDC's report found that of all the data existing in the digital universe, less than one percent has been analyzed and put to use. By 2020, the firm expects the size of global digitized information to grow to 40 zettabytes, over 50-fold its size at the beginning of 2010. According to researchers, that's more data bytes than there are grains of sand on the planet.
BI software enabled IDC to capture data migration far more effectively than it would have otherwise, the report adds, and has helped the firm determine that of more than 13,000 exabytes existing today, 33 percent has significant big data value if tagged and analyzed.
The number of servers is expected to explode as well, growing tenfold by 2020, as information managed by enterprise data centers expands by a factor of 14. Jeremy Burton, Executive Vice President of EMC, points out that the study underscores an opportunity for businesses to identify potential benefits of BI and recognize the importance of data security and IT skills.
"As the volume and complexity of data barraging businesses from all angles increases, IT organizations have a choice," Burton said. "They can either succumb to information-overload paralysis, or they can take steps to harness the tremendous potential teeming within all of those data streams."
Cloud expansion to drive BI
Cloud computing improves data discovery by giving businesses and research centers access to large public databases and offering data analysis tools to make use of them. According to research from Infratel, most of the world's top web hosts will be offering additional internal blueprint services to help clients create more effective operational transparency and achieve better collaboration between departments.
The tech firm adds that automation of many tech services will lead to downtime for workers in almost every industry, enabling more work to get done and, likewise, more data to make its way to public and private databases. IT professionals will likely develop automated advanced analytics software that can extract and review relevant big data to save employees from going over documents that are of little use to their companies' operations.