How will future infrastructure impact analytics?

The systems and techniques used to manage data have evolved quickly in the past few years, presenting businesses with a double-edged sword of sorts that involves a combination of risks and opportunities. From one perspective, the rapid transition away from legacy IT and into modern frameworks has come with novel threats and management demands which must be faced head-on to avoid information loss, exposure or theft.

On the other hand, companies are indeed becoming a bit better-positioned to get more out of business intelligence and big data technologies, as digitized information in central storage locations can go a long way toward fueling analytics success. One thing is for sure, though, and that is leaders need to keep up with the progression of backend infrastructure technologies should they hope to continue improving with respect to intelligence and information governance.

More changes ahead
Gartner recently argued that the software-defined data center market will begin to overtake others through the second half of this decade, despite the fact that so few companies have started to use these techniques to build out their storage and infrastructure environments. In fact, the analysts believe that SDCC will be common among the majority of the largest enterprises in the world by 2020, driven by immense needs to align infrastructure with other components of IT.

For obvious reasons, the onus will be placed on the decision-makers most closely associated with backend IT management, including chief information officers and supervisors in the technology department.

Software is beginning to play a major role in data center technology. Software is beginning to play a major role in data center technology.

“Infrastructure and operations (I&O) leaders need to understand the business case, best use cases and risks of an SDDC,” Gartner Analyst and Vice President Dave Russell asserted. “Due to its current immaturity, the SDDC is most appropriate for visionary organizations with advanced expertise in I&O engineering and architecture.”

As was the case when the cloud first started to spread, companies will need to take a proactive approach to streamlining management of systems, users and data to capitalize on SDCC rather than only seeing their risk levels rise following deployment. Gartner suggested picking the time at which such implementation procedures will begin carefully, and invest in the training assets necessary to get all employees on the same page regarding future terms of use.

The analytics angle
All of these trends in backend system management and technological innovation are helping to usher in a new era of data usage, and SDCC will be no different given the fact that it should help to open the doors of access and monitoring a bit wider. However, companies that do not pay attention to the changes taking place in storage and hosting environments will put themselves in a precarious position when it comes to data analytics strategies.

Whenever a major change in infrastructure is set to take place, service providers who handle data preparation and other aspects of intelligence solutions will need to be notified quickly. By staying in tight communication with all service providers, firms will be able to capitalize on novel infrastructure options while still progressing from an analytics standpoint.