Organizations often find themselves implementing several data protection solutions for different purposes. In fact, our research shows the average enterprise uses four different data protection solutions within their hybrid multicloud environment.
The use of multiple point products may be due to poor planning, a misguided attempt at cost reduction, or some other factor. Whatever the reason, this approach ultimately causes problems not only for IT but for the entire organization. Using different vendors and solutions for data protection can quickly add up. Worse, it can leave key weaknesses exposed. Using a single, automated data protection platform can simplify hybrid multicloud backup while improving data security and data management.
How can consolidating on a data protection platform help your IT team simplify data management—and what are the risks of failing to do so?
The value of data visibility
IT teams face greater demands than ever in managing their data. Increasing data privacy regulations require stricter management and greater visibility across heterogeneous environments to maintain regulatory compliance. Customer licensing agreements may raise their own data security concerns. Meanwhile, the volume of data the average organization gathers continues to grow exponentially, multiplying the challenges of classifying, cataloging, and managing data while making data accessible on demand. Plus, the infrastructure across which data is dispersed is often siloed, making it hard to locate important information or identify inactive or unnecessary data.
Given these factors, it’s not surprising many organizations lack visibility into business-critical data. According to the Vanson Bourne Value of Data study, over half of the data (52 percent) is unclassified or untagged. Data in the public cloud and mobile environments is especially vulnerable. Only 5 percent of companies have classified all the data in their public cloud, and just 6 percent have cataloged all their organization’s mobile device data.
To gain enhanced data visibility, organizations need a way to access information about their data. For example, a solution that supports a comprehensive matching and classification library can catalog and locate the data within your infrastructure so you can easily access and manage it. Such tools can also provide deeper insights into your data and help maintain regulatory compliance.
Benefits of a unified data protection platform
IT teams often worry that a single backup product can’t meet all their business needs, so they implement multiple solutions and vendors in a piecemeal fashion. Cost fallacies and fear may prevent them from making a change. Eventually, they become locked into these vendors.
The risk of using disparate point products far outweighs the reward, however. Multiple vendors multiply opportunities for problems. Deploying a single solution can deliver greater software efficiency and reduced complexity—as long as the solution you choose can meet all your needs.
Organizations need a way to protect a wide range of workloads that eliminates the need for workload-specific point tools and reduces their data storage footprint. That’s why they should look for a solution and provider that enables large-scale recovery orchestration with a single click. This approach helps ensure data everywhere—on-premises, in the cloud, and on edge nodes—is protected and recoverable to the same enterprise-grade expectations.
Knowledge is power
The first step in protecting your organization’s data is knowing what data you have and where it’s stored. A solution that can catalog both on-premises and cloud-based data puts you in control. A product with robust analytics offers visibility into which aspects of your data management strategy are working and which are not.
Using multiple data protection solutions restricts your ability to automate horizontally across physical, virtual, and cloud workloads. Consolidating backup into a single, integrated platform that enables truly automated recovery puts your organization on the path toward simplification—no matter how much data you have or where it’s dispersed.
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