Storage Infrastructure for the next era of Data

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This era demands all organizations to evolve at full tilt to survive in the challenging and ever-changing environment. Businesses have understood that only data and its other powers can help them with quick transformation. The success and the failure of the enterprise is based on their ability to churn the data into useful insights to power up their decision-making process for quick adaptability.

Change is constant and keeping up with this change is called agility in business. To become an agile business, the ability to transform fast and be ready for future transformation is crucial. Albeit companies understand this, they struggle with problems, “Organizations today are on the verge of capitalizing on digital transformation, but are struggling with two significant problems – first, the sheer amount of data being created daily, and second, the increasing pressure on IT to become more simple and agile,” said Grainger Wallis, Senior Vice President, Data Centre Solutions—Asia Pacific & Japan.

“Customers tell us the main obstacle keeping them from achieving their digital transformation initiatives is the constant tug-of-war between supporting the ever-increasing number of workloads—from traditional IT applications to data analytics—and the reality of cost constraints, limitations, and complexity of their existing IT infrastructure,” said Dan Inbar, president, and general manager, storage, Dell Technologies.

Modern technologies offer solutions for big data storage and reduce workload and optimize performance for businesses to benefit from these and derive insights and convert them into innovation. Other modern storage features that businesses can benefit from are:

  • Data-centric design can help in optimizing system performance and storage efficiency to support any workload.
  • Machine learning and Intelligent Automation can aid in optimizing the resources by faster delivery of services.
  •  Adaptability
  • Cloud flexibility
  • Storage monitoring
  • Analytics combined with ML provide real-time analysis and capacity analysis.
  • Efficiency without compromise
  • Ease of Migration from existing storage
  • Portability and standardization.

It is high time that the organizations and businesses adopt recent storage measures to be ready for the huge data wave, else there are high possibilities that they might get swept underneath.

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