Unlock Data’s Potential with Intelligent Storage

Extracting value from data across hybrid cloud environments is the next frontier

Extracting value from data is central to the digital transformation required for businesses to succeed in the decades to come. Buried in data are insights that reveals what your customers need and how they want to receive it, how sales, manufacturing, distribution, and other aspects of business operations are functioning, what risks are arising to threaten the business, and more. That insight empowers your businesses to reach new customers, develop and deliver new products, to operate more efficiently and more effectively, and even to develop new business models.

In today’s digital era, new applications and workloads are creating data across a hybrid IT landscape, with huge amounts being generated at the edge, in the cloud, and in the datacentre. Data holds the power to transform—but only if it can be refined and accessed when and where it’s needed, anywhere across a hybrid cloud environment. Most enterprises see hybrid clouds—their ecosystem of workloads deployed across public clouds, private clouds and on-premises—as the new reality.

However, with hybrid cloud, there is still work to be done to match the agility and consumption experience of the public cloud. Harnessing the transformative power of data in the hybrid cloud computing environments of the future is the next frontier for IT—and for business.


Innovation has fostered the emergence of new technologies like predictive analytics and artificial intelligence designed to find the insight in exploding volumes of data. But data storage hasn’t kept up. Existing storage systems were designed in a different era to do a different job in a different environment.

Limitation #1: It’s still too complex

Traditional storage, and even flash storage, are not designed to handle the complexity of our edge-enabled and cloud-connected world. The challenge with these approaches is that they conceal or overlook your data’s value, force you into outdated support and ownership models, and slow your ability to respond to business needs. As a result, much of storage administration is spent on:

• Reactive and time-consuming trouble-shooting of performance issues and outages

• Determining optimal workload placement across a hybrid IT estate

• Navigating infrastructure complexity that hinders data mobility between edge, on-premises, and public cloud

• Keeping up with the volume and pace of data being created

• Having too much data to process, store and copy, coupled with uncertainty about what to discard, without compromising security and compliance regulations for different data types.

An ongoing shortage of IT skills and resources makes the problem acute.

Limitation #2: It turns clouds into silos

Mobility, social media, and the Internet of things have given rise to a new generation of applications. But these emerging applications didn’t necessarily emerge in the data centre. Cloud-based apps gather and store data in the cloud. And data is increasingly collected and applied in remote edge locations such as factories, transportation hubs, oil fields, and ships. Data spills across the entire hybrid cloud landscape in disjointed data silos rather than an integrated, continuous computing environment that lets IT run each app in the best place.

Limitation #3: Its cost doesn’t match its business value

Storage demands an ever-increasing slice of a not-so-increasing IT budget. Needs can outstrip capital depreciation schedules making it difficult for IT to upgrade and replace storage devices in support of business initiatives. Migration to new systems is not only time consuming, it often requires operating and paying for old and new systems concurrently, sometimes for extended periods. And because business demands and data growth no longer respect the capital budget process or even acquisition and implementation lead times, you’re left to guess high, overprovision, and overpay to avoid being caught short.


When data isn’t available when and where it’s needed, its value is lost to the business. When managing and operating storage infrastructure is so complex it consumes excessive IT resources, it slows business progress. And when storage acquisition and operations costs exceed returns, it drains investment away from core business initiatives

Those are the experiences of businesses trying to tap tomorrow’s opportunities with yesterday’s storage technology. And those experiences have led us to rethink what storage should be, how it should work, and how it should be consumed.

Storage needs to be more than the place where data lives. Gaining intelligence from your data begins with more “intelligent storage.” Intelligent storage should deliver built-in artificial intelligence (AI), hybrid cloud interoperability, and consumption based IT. This combination helps you manage, secure, govern, and control data throughout its lifecycle, no matter where it lives, in order to extract insights from it. And for IT organisations charged with driving the digital transformation their businesses need, that’s a game changer.


Data holds the power to transform your business. Intelligent storage holds the power to transform your use of data.

ust as advanced analytics helps enterprises find business insight in mountains of business data, advanced analytics can find IT insight in the mountains of data generated in IT infrastructure. And just as AI can learn to drive automobiles and fly airplanes, it can enable IT infrastructure to learn, adapt, and react—a step towards autonomous IT.

Intelligent storage collects data not just from storage devices, but from servers, VMs, network interfaces, and other infrastructure elements across the stack. It uses machine learning to develop models that reflect what’s right, so it can spot what’s wrong. And it applies predictive analytics to anticipate and prevent issues across the infrastructure stack and to speed resolution when they do occur.

To read full download the whitepaper:
Unlock Data’s Potential with Intelligent Storage


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