Enterprises Face Storage Management Challenges Amid Data Growth

Enterprises Face Storage Management Challenges Amid Data Growth

There is an increased need for companies to plan for the aging data, protection plans, and migration policy to manage data storage management, as data continues to explode.

With the increased digital transformation projects across industries, there has been a significant amount of data growth which is affecting storage management. This indicates the rise in retention of unstructured data putting out the storage challenges faced by businesses.

Datadobi in collaboration with 451 Research released a study that reveals the need for organizations to plan for the outlook of aging data, protection plans, and implement the migration. Besides, it is also crucial to understand storage-consumption costs – if they want to effectively manage data, be it on-premises and in the cloud.

Also Read: Can data services and cloud storage support development in the AI era?

The effect of rapid data growth on storage management

The report indicates data growth as the topmost storage management challenge among organizations, ahead of a range of technical issues including disaster recovery requirements, migration, and cost.

Furthermore, the surveyed respondents noted they expect data management systems to grow by 26% in their organizations – over the next 12 months. In fact, the growth in unstructured data as well complicating the approach enterprises requires taking to data protection and disaster recovery.

As the report claims, this is pushing businesses to look beyond traditional on-premises storage infrastructure in order to leverage the public cloud storage or managed services. It will help reduce the burden on IT professionals.

Simply put, more organizations will need to manage the increased levels of unstructured data –on-premises as well as within the cloud. Hence, they will need protection, cross-platform data migration (data mobility), and management protection that are embedded in clear and identifiable possession.

Also Read: Understanding the challenges of Big Data Analytics in IoT tech

Thus, to address such critical challenges, organizations should seek tools and advanced platforms that enable them to leverage an array of vendor and cloud offerings. It will help them preserve choice while protecting the capability to negotiate superior service and lower price levels from their vendors.

In this context, Michael Jack, CRO at Datadobi explained – “Data growth continues to be a top challenge in most organizations. As cloud adoption continues, efficient data mobility takes on new importance and must be automated as much as possible.

He also added, “Retention policies, data protection policies, and data disposition policies need to be clearly defined through partnerships between business data owners and the infrastructure owners who provide storage services to the business.”

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