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Next-Gen Analytics Will Power Tomorrow’s Businesses

Posted by on March 7th, 2013

Business technology moves information around at the speed of light, and as anyone working in IT can tell you, it changes just as fast. Recent advances in the power and scope of computing have presented businesses with an avalanche of information that they can analyze to maximize their business productivity. The only problem now is that the analytical tools that business leaders have been relying on since the dawn of the computing age aren’t keeping up with the changing face of business technology.

This next generation of business applications, born in the cloud and built to harness massive computing power, needs next-gen analytics in order for IT and business leaders to make sense of the growing madness. The next generation of business analytics applications may not be easy to spot at first, as no vendor will be quick to label their wares as old hat, but there are a set of capabilities that will quickly separate apps that are ready for today’s technology from those that are still stuck in yesterday.

Immediacy

Give data scientists access to all of a company’s data, and in a few weeks or months they’ll probably have a wonderful handle on how that data affects the business. Of course, by that time, all that data is woefully out of date and almost certainly worthless. That’s why the next generation of analytics applications have to give readable results in real-time. With the rapidity of changing system conditions and customer trends, waiting days or weeks for analytics results is a luxury that modern businesses just no longer have.

Intelligence

Going forward, the best analytics applications will not only be able to provide the requested information, but also any important information that IT and management didn’t even know they needed. This built-in intelligence will be able to automatically point out outliers and emerging trends, giving IT personnel and managers a huge advantage over using older analytics apps when it comes to keeping their systems running. Intelligent apps will also be better able to adapt to and monitor fluid system conditions, an especially important fact for analyzing applications in the cloud, where application topology can quickly change from one moment to the next.

Invisibility

Anyone can build a massive monitoring program that hogs as many resources as the applications it is supposed to be watching, but true next-gen analytics will be done by apps that are almost completely unobtrusive. These apps will harness the flexibility of the cloud to work their magic without bogging down system resources or requiring that the system be brought down and restarted. This not only helps preserve system power for mission specific apps, but it helps reduce latency that could temper performance analytics on high-power systems.

Built With the Future in Mind

Perhaps the most important aspect of any next-gen analytics application is the understanding that the future of technology, and data analysis in particular, will always remain fluid. The hot environments and apps of today may be archaic in just a few years, so the analytics application needs to be built from the ground up with the future in mind. Apps that are restricted to just a few environments or languages or tied up with proprietary standards, will be of limited use when technology makes another eventual shift, while apps built with that shift already in mind will be continuously effective.

Businesses that truly take the time to look for a next-gen analytics solution, one that touches on each of these next-gen aspects, will not only reap the immediate benefits of using technology tuned to today’s business intelligence world, but will also prepare themselves for any eventual shifts in technology.

The race to accumulate and assimilate big data will never truly be won, as there will always be more information to process and data to mine, but businesses that take the time now to prepare themselves when it comes to their analytics options will remain on the cutting edge of the data revolution, instead of falling behind.

Image credit: Wikimedia

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