This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.
With organizations increasingly shifting their workloads to the cloud, word on the street is that the legacy ways of building data centers is dead. With digitally-powered services becoming progressively omnipresent, the data center and its underlying infrastructure can no longer keep pace with the demands placed upon it in a digitized world.
This is especially prevalent as consumers demand self-service in everything they do - they browse online before making a purchase, pay their bills instantaneously via an app and expect everything to happen at the touch of a button. All processed with speed, efficiency and reliability. As a result, businesses are beginning to feel the weight of the pressure to deliver what consumers want and when they want it.
The core challenge faced by these companies lies in closing the innovation gap: the chasm between what they aim to deliver and what can actually be delivered. And as organizations struggle, opportunities for competitors to disrupt, and the onset of customer disappointment start to seep in.
Realignment of workload
The adage "The customer is always king" continues to hold true, and in our data-driven environment, content and data is similarly king as it leads to better customer understanding. This correlates with IDC's FutureScape Report, which recently projected that 50 percent of the new data centers will be for systems of engagement, insight and action rather than traditional systems of record. Simply put, it is a telling indication of how businesses are changing their data center investment priorities in order to align with the growing need for customer insight.
To that end, businesses who want to stay ahead of the competition need to seriously consider investing in new platforms with predictive analytics and insight capabilities. This is to ensure that the data center as well as its underlying infrastructure can keep pace and evolve to stay competitive. Ultimately, data is the foundation of an IT-led organization that drives the development of new technologies and applications, underpinning revenue growth and customer satisfaction.
This places the enterprise data center at the epicenter of operational goals and it will be a business-critical asset that cannot be ignored. Yet, all too often an organization's ability to close the innovation gap is inhibited by the data center's supporting infrastructure.
In an era where consumers and organizations expect on-demand services, having a data center that can adapt at the market's speed and turn on new applications with the click of a button is paramount. For this to be possible, the entire technology ecosystem within the data center needs to be capable of enacting change at a moment's notice.
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