As the volume of data increases and its complexity rises, enterprises are increasingly looking to outsourced storage solutions. The sheer scale of operations data, coupled with ongoing business expansion and the burgeoning field of web analytics, is pushing data estates to their limits.
Why more companies are outsourcing their storage needs
Enterprises are increasingly outsourcing storage to manage the volume and complexity of data operations.
Rapid growth in data volume and complexity has made it difficult for companies to manage storage internally. Outsourcing provides a practical solution, allowing businesses to leverage external expertise and infrastructure to handle their data needs efficiently.
Subscription models gain favor among data-heavy enterprises
Preferences stem from the flexibility and scalability that subscription models offer. When opting for subscription-based services, companies can offload the burdens of capacity management to vendors, who are better equipped to handle these tasks.
Nearly two-thirds of organizations prefer a subscription-based model for storage management.
Enterprises can focus on their core business operations while enjoying the benefits of scalable and flexible storage solutions. The pay-as-you-go model also helps in managing costs effectively, aligning expenses with actual usage.
Simplifying data ecosystems becomes essential for business growth
The need to simplify data ecosystems is driven by an overload of operations data, ongoing business growth, and expanding web analytics as data becomes more central to business strategies, the complexity of managing it grows.
Simplifying these ecosystems helps companies simplify operations, reduce costs, and improve efficiency. When outsourcing storage and adopting cloud-based solutions, enterprises can achieve a more manageable and cohesive data environment, enabling better decision-making and operational efficiency.
Overcoming data management hurdles in enterprises
Data estates represent critical points where IT and business operations intersect. Intersections are often fraught with challenges such as technical debt, interoperability issues, and increased storage demands.
As businesses grow and data volumes rise, these challenges become more pronounced, necessitating effective solutions to manage and optimize data estates.
Addressing these issues requires a strategic approach that balances the need for robust IT infrastructure with the demands of business operations.
Solutions that are changing enterprise data management
Cloud storage is becoming the preferred destination for most enterprise data, driven by the need for simplification and efficiency. Moving data to the cloud means companies can offload the complexities of storage management to specialized providers, allowing them to focus on core business initiatives.
Cloud storage offers scalability, flexibility, and cost-effectiveness, making it an attractive option for enterprises looking to streamline their data operations.
Despite the push towards cloud migration, there are ongoing concerns about security and interoperability. Enterprises must make sure that their data remains secure and accessible across different platforms and services.
Some enterprise data and storage solutions are difficult to replicate in the public cloud, requiring careful planning and execution to achieve a smooth transition. Companies must evaluate their specific needs and choose cloud providers that offer the necessary security measures and interoperability capabilities to meet these requirements.
Resulting data solutions
Enterprises are increasingly adopting heterogeneous data solutions that integrate cloud, on-premises, and edge-based infrastructure, addressing the diverse needs of modern businesses by providing a flexible and scalable framework for data management. Combining these three environments means companies can optimize their data storage and processing capabilities, making sure that they meet performance, security, and regulatory requirements.
Hybrid solutions offer the flexibility to store and process data close to the source when necessary, such as in edge computing scenarios, while also leveraging the scalability and cost-efficiency of cloud storage for other workloads.
A multi-faceted strategy helps enterprises maintain control over their data environments and adapt quickly to changing business demands.
High-performance storage solutions are also increasingly essential for enterprises that require rapid data access and processing. Demands are driven by the growing adoption of generative AI applications and big data analytics, which necessitate robust storage systems capable of handling intensive workloads.
Generative AI applications, such as those used in natural language processing and image generation, require substantial computing power and fast data retrieval to function effectively. Similarly, big data analytics involves processing vast amounts of data to extract actionable insights, which places significant demands on storage infrastructure.
Enterprises are investing in high-performance storage solutions to meet these needs, including all-flash arrays and NVMe (Non-Volatile Memory Express) technologies, which offer superior speed and efficiency compared to traditional storage options.
