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Hewlett Packard Enterprise (HPE) > Case Studies > Princeton Holdings Limited Case Study
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Princeton Holdings Limited Case Study

Technology Category
  • Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
  • Finance & Insurance
Applicable Functions
  • Business Operation
Use Cases
  • Infrastructure Inspection
Services
  • Cloud Planning, Design & Implementation Services
The Challenge
Princeton Holdings Limited, a company specializing in insurance, risk management, and wealth management solutions, was facing a challenge of improving performance and reducing server sprawl while supporting future growth. The company wanted a secure and reliable infrastructure that could match its reputation for strength and stability. They were looking for a solution that could consolidate and run significantly more workloads, eliminate as many servers as possible, and provide disaster recovery and backup capabilities.
About The Customer
Princeton Holdings Limited is an Ontario-based company that has been in the reassurance business for decades. The company operates through its subsidiaries, specializing in insurance, risk management, and wealth management solutions. Princeton Holdings has an excellent reputation for strength and stability, and it needed a secure and reliable infrastructure to match. The company was looking to improve its performance, reduce server sprawl, and support future growth.
The Solution
Princeton Holdings Limited chose HPE SimpliVity as their solution. HPE SimpliVity is a hyperconverged infrastructure that consolidates and runs significantly more workloads. The company chose this solution with the aim of eliminating as many servers as possible. One of the key factors that gave HPE SimpliVity an edge over the competition was its disaster recovery and backup capabilities. This solution was expected to improve infrastructure performance, reduce the IT footprint and costs, address continued data growth, enable security and compliance strategies, and provide reliable IT support to subsidiaries.
Operational Impact
  • Improved batch reporting cycle times from eight to three hours
  • Improved infrastructure performance and storage savings
  • Reduced IT footprint and costs
Quantitative Benefit
  • Batch reporting cycle times reduced from eight to three hours
  • Significant improvement in infrastructure performance and storage savings
  • Significant reduction in IT footprint and costs

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