Disaster Proofing Information Systems: A Complete Methodology for Eliminating Single Points of Failure - ISBN:007140922X

Disaster Proofing Information Systems: A Complete Methodology for Eliminating Single Points of Failure

Date: 14 April 2011, 06:43

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Disasters come in all sizes, happen every single day, and can be categorized by different criteria. One way to measure disasters is based on how many people are impacted within the company, as shown in Figure 1-1. The bottom of the pyramid implies that data loss due to a crash of a single laptop only impacts the laptop's user, whereas destruction of a facility impacts many personnel and can threaten their safety. So what's the conclusion? The more people disrupted or threatened, the greater the business impact and therefore the larger the disaster. Maybe. Another measure is to look at how a disaster impacts the company, as diagrammed in Figure 1-2. In this case, the loss of critical data from only two laptops on the last day of the quarter results in the company's inability to recognize progress payments on major projects. This causes the company to miss its quarterly financial targets and results in a subsequent downgrade and selloff of its stock. This may seem like an isolated and histrionic example, but I know of numerous cases where a minor disaster quickly escalated into a major one that cost people their jobs. The point is that it's hard to estimate how far a particular disaster will reach or exactly what impact it will have on a business, its customers and revenue, and its customers' customers.

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