Financial Services Company Looks to the Cloud

Cloud application assessment uncovers total cost of ownership and drives long-term cloud deployment strategy.

Opportunity

Opportunity

A financial services company wanted to conduct a cloud application assessment to determine the total cost of ownership (TCO) and advantages of transitioning to a public cloud delivery model.

ISG was engaged to validate, benchmark, and develop the costing structure to compare cloud providers, including Amazon Web Services and Microsoft Azure.

In addition to the cloud application assessment, the company looked to ISG to create reusable pricing models to compare workload costs against different deployment models, including on-premises and the public cloud models, as well as different service models, including infrastructure-, platform- and software-as-a-service (IaaS, PaaS and SaaS).

Imagining IT Differently

Imagining IT Differently

ISG used technology provided through several partnerships and detailed proprietary cost models from our ISG Inform™ platform to assess the true TCO vs. just the cloud costs.

ISG applied our experience with SaaS- and IaaS-based solutioning and cloud sourcing best practices to determine the TCO for various cloud delivery and deployment models for both present and the future scenarios.

ISG collaborated with NPI and Gravitant, industry leaders of the ever-evolving cloud market, to ensure the company received the most current and representative pricing for various cloud services and had access to the latest thinking around cloud workload readiness and brokerage services.

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Future Made Possible

  • Validated the company's assessment of the request for information (RFI) results.
  • Assessed how the company could leverage cloud safely to solve for variable cost, agility and flexibility to meet business demands.
  • Developed a reusable model used to support the company's long-term cloud deployment strategy.
  • Technology and models are integrated into company's strategic sourcing process, so the total costs are understood before workloads are automatically moved to the public cloud.