Eight ways to measure cloud ROI

Eight ways to measure cloud ROI

An initiative from The Open Group has developed a set of key considerations for how to build and measure return on investment (ROI) for cloud computing initiatives from a business perspective. By examining the benefits cloud computing offers organisations and showing the potential return it can provide from the beginning, companies may find it easier to gain buy-in for cloud initiatives from the executive team, as well as the IT department.

Cloud computing has been described as a technological change brought about by the convergence of a number of new and existing technologies. The promise of cloud computing is identified primarily by the following key technical characteristics:

• The ability to create the illusion of infinite capacity performance is the same if scaled for one or one hundred or one thousand users with consistent service-level characteristics.

• Abstraction of the infrastructure so applications are not locked into devices or locations.

• Pay-as-you-go usage of the IT service; you only pay for what you use, with no or minimal up-front investment costs. You typically just use the service through a connection and device.

• Service is on-demand and able to scale up and down with near instant availability. Typically, no forward planning forecast is required.

• Access to applications and information can be obtained from any access point.

But this is only half the story. These technical characteristics can also be found in many non-disruptive technology solutions. What sets the promise of cloud computing apart is that the rate of change, magnitude of cost reduction and specific technical performance impact that cloud computing can provide is not just incremental, but can give a five-to-ten times order of magnitude of improvement.

The Capacity-Utilisation Curve

The famous graphic used by Amazon Web Services illustrating the capacity versus utilization curve has become an icon in cloud computing. The model illustrates the central idea around cloud-based services enabled through an on-demand business provisioning model to meet actual usage.

This model is important to businesses because one of the core precepts of cloud computing is to avoid the cost impact of over-provisioning and under-provisioning of computing resources. This benefit is in addition to the opportunity for cost, revenue, and margin advantages of business services enabled by rapid deployment of cloud services with low entry cost, as well as the potential to enter and exploit new markets.

We contend that years from now when cloud computing is seen in a historical context, the capacity versus utilization curve will be seen as an iconic model that had the same effect as previous well-known business models, such as Moore's Law, which, for example, has been seen as a major indicator of microprocessor speed in the computing industry and is now being applied to other industries, such as solar power, to define the rate of efficiency improvements.

Eight Ways to Cloud Computing ROI

The problem with using the view of capacity and utilization alone is that it is a technology provider/seller viewpoint essentially based on key performance indicators (KPIs) rather than business benefit metrics. This model is primarily concerned with two specific measurements:

• IT capacity - measured by storage, CPU cycles, network bandwidth or workload memory capacity as indicators of performance.

• IT utilisation - measured by uptime availability and volume of usage as indicators of activity and usability.

But effective cost/performance ratios and levels of usage activity do not necessarily imply proportional business benefits. They are just indicators of business activity that are not in themselves more valuable than lower operating cost. What is needed instead is a set of business metrics that build on the cloud computing model.

The following are business metrics that can help translate the indicators from the capacity-utilization curve to direct and indirect benefits to the business:

1. The speed and rate of change - Cost reduction and cost of adoption /de-adoption is faster in the cloud. Cloud computing creates additional cost transformation benefits by reducing delays in decision costs by adopting pre-built services and a faster rate of transition to new capabilities. This is a common goal for business improvement programs that are lacking resources and skills and that are time sensitive.

2. Total cost of ownership optimization - Users can select, design configure and run infrastructure and applications that are best suited for business needs. Traditionally this has often been decoupled when IT projects are handed off to production services. In cloud computing environments these are joined up.

3. Rapid provisioning - Resources are scaled up and down to follow business activity as it expands and grows or is redirected. Provisioning time compression can go from weeks to hours.

4. Increased margin and cost control - Revenue growth and cost control opportunities allow companies to pursue new customers and markets for business growth and service improvement.

5. Dynamic usage - Elastic provisioning and service management targets real end users and real business needs for functionality as the scope of users and services evolve seeking new solutions.

6. Risk and compliance improvement - Cloud computing green capabilities can be leveraged through shared services.

7. Enhanced capacity utilization - IT avoids over-and under-provisioning of IT services to improve smarter business services.

8. Access to business skills and capability improvement - Cloud computing enables access to new skills and solutions through cloud sourcing on demand solutions.

These measures define a new set of business indicators that can be sused to create a "score card" of your current and future operational business and IT service needs relating to cloud computing potential. The work of The Open Group is developing tools and frameworks to enable businesses to evaluate these cloud computing opportunities to focus on how flexibility, competitive advantage, compliance risk and security in all aspects of the cost of cloud adoption can be better defined in a business language.

Mark Skilton is currently Global Director responsible for applications strategy and service offer development for Capgemini Global Applications Outsourcing Services. He can be reached at

Follow Us

Join the newsletter!


Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.


EDGE 2024

Register your interest now for EDGE 2024!



How MSPs can capitalise on integrating AI into existing services

How MSPs can capitalise on integrating AI into existing services

​Given the pace of change, scale of digitalisation and evolution of generative AI, partners must get ahead of the trends to capture the best use of innovative AI solutions to develop new service opportunities. For MSPs, integrating AI capabilities into existing service portfolios can unlock enhancements in key areas including managed hosting, cloud computing and data centre management. This exclusive Reseller News roundtable in association with rhipe, a Crayon company and VMware, focused on how partners can integrate generative AI solutions into existing service offerings and unlocking new revenue streams.

How MSPs can capitalise on integrating AI into existing services
Access4 holds inaugural A/NZ Annual Conference

Access4 holds inaugural A/NZ Annual Conference

​Access4 held its inaugural Annual Conference in Port Douglass, Queensland, for Australia and New Zealand from 9-11 October, hosting partners from across the region with presentations on Access4 product updates, its 2023 Partner of the Year awards and more.

Access4 holds inaugural A/NZ Annual Conference
Show Comments