The time-to-market value model of cloud computing, as depicted by figure 15, reduces your time to go to market by enabling you to transition from one computing environ-ment to another at a faster pace. This is because you do not have to spend time commissioning computing infrastruc-ture and environments beforehand, as with traditional computing. Rather, at a moment’s notice, you can have any number of computing resources available to you to use in order to deploy your business application or service.
The location flexibility value model of cloud computing, as depicted by figure 16, enables you to access your comput-ing environment and work from any location due to the ubiquitous nature of computing. This flexibility increases your productivity and empowers you to have global reach. The asset optimization value model of cloud computing,, is similar to the demand flexibil-ity value model except that the perspective isconsiders the unmet demand over a product life cycle resulting in loss of business, and figure 17 considers the extra investment you will need to make in order to have excess capacity in order to prevent loss of business. Or, rather, loss of reputation should your busi-ness be impeded due to lack of computing capacity. Ad-ditionally, when nearing end-of-life of your service, you are left with extra computing infrastructure that takes up needless space and so acts as a drain upon your cash flow. All this assumes that the asset life cycle that affects investment follows the product life cycle. So you can opti-mize your assets through the use of cloud computing.
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