New IBM big data analytics technology enters market
163
post-template-default,single,single-post,postid-163,single-format-standard,ajax_fade,page_not_loaded,,qode-title-hidden,side_area_uncovered_from_content,qode-content-sidebar-responsive,qode-theme-ver-13.8,qode-theme-bridge,wpb-js-composer js-comp-ver-5.0.1,vc_responsive

New IBM big data analytics technology enters market

The power of big data analytics is undeniable. While effectively embarking on a project to utilize large stores of information requires thoughtful IT planning, the efforts put into these initiatives are often worthwhile due to the costs savings, customer engagement, productivity and more that can be produced in the process. And when businesses leverage the most advanced analytics solutions, they stand an even better chance of generating ROI and other meaningful results.

IBM recently announced that it has been receiving enthusiastic client and business partner support for the new version of its DB2 database software, BLU Acceleration, which is now available. The leading IT firm noted that this technology allows enterprises to revamp their decision-making abilities by making it faster, easier and more cost-effective to analyze big data. The need for such solutions is becoming particularly urgent because of the influx of information that has occurred in recent years thanks to computers, mobile devices, sensors, social media and more.

"The feedback we're hearing from clients and partners illustrates that we're providing an innovative and powerful yet simple solution that can ingest huge amounts of data and apply insights from all this data at the point of impact," said Bob Picciano, general manager of IBM Information Management. "IBM's work with beta clients and internal tests show significant speed and simplicity."

In one case, Picciano noted, this solution was proven to be 10 times faster than some other in-memory database systems. While with other technologies, queries could take as much as seven minutes, BLU Acceleration cut that time down to eight milliseconds. And the faster companies can gain accurate insights, the better equipped they are to serve their clients, improve their operations and make critical decisions.

More than speed
However, big data analytics projects shouldn't focus solely on how quickly it's possible to arrive at an answer. Any knowledge gained must also be based on a wide range of resources available to companies, including unstructured data. Svetlana Sicular, a research director at Gartner, explained in an article for Forbes that it is critical to take variety, one of the 3Vs of big data, into account. For example, she pointed out that organizations can make significant improvements by harnessing unused "dark data," including relevant social media messages, emails, activity logs and more. Sicular compared these sets of information to the concept of dark matter in physics: Dark data makes up the bulk of the world's information even though it cannot be directly seen and analyzed without the right tools.

In the IT planning process, it is crucial to consider the power that big data holds. With these IT solutions at their disposal, businesses may be able to drive many meaningful improvements to their organizations. Any company's first step in this journey should consist of finding the technologies that fit its needs, and this can be accomplished with the assistance of knowledgeable industry service providers.