Data Transformation for Data Growth

Data Transformation for Data Growth

 

Data Transformation for Data Growth

Helping our customers achieve business and IT objectives is a core principle at Pure Storage. Organizations have shared with us their challenges as they assess their IT landscape to meet the needs of the business.

Two Competing Challenges Facing IT As They Modernize

  • Driving Capital Savings and Operational Efficiencies for IT

Specifically, what infrastructure, best practices, implementations, and consumption models can be put in place to help streamline and make it easier for IT teams to stay agile and deliver for their organizations. To be clear, gaining operational efficiency does not equate to “how can we do more/the same with less IT staff.” It’s about reducing the effort required to complete tasks, thus freeing up existing IT resources and making it possible to redirect staff to more strategic, higher-value projects that tangibly benefit the business.

  • Focus On Sustainability to Minimize Energy Consumption and Environmental Impact

Enterprises are challenged to both maintain infrastructures that stay ahead of their IT needs and have minimal impact on the environment. In data storage, this effort often focuses on minimizing power consumption, cooling, and space requirements. This has the added benefit of lowering operational running costs, data center and real-estate sprawl.

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