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SOLUTIONS |
SERVICES+EDUCATION |
CUSTOMERS |
NEWS + EVENTS |
COMPANY |
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ROI for the Automated EnterpriseMajor systems management vendors are presenting a new vision of the future data center, and success-minded CIOs should begin constructing a roadmap to the automated data center, with moderate steps that ensure ROI. Automated data centers self-configure, self-heal, self-optimize and self-protect. The underlying solutions combine intelligent management software and resilient hardware to deliver better asset utilization, make data center operations less expensive, increase flexibility to meet changing business demands and proactively provide more resilience. Best practice features include:
Even modest improvements can deliver significant savings. Some key opportunities and benefits follow. IT Operations and AdministrationTypically, 30 to 40 percent of IT spending is allocated to operations and administration – an average of $4,400 per employee in an average U.S. enterprise. Of this spending, 65 percent is dedicated to ongoing maintenance and asset management, 25 percent for migrations and upgrades, and only 10 percent for innovation. To improve the value of IT, it’s important to decrease the ongoing maintenance and asset management through task avoidance and productivity enhancements, while increasing the resources that can be spent on innovation. Organizations should target the three biggest areas of gain:
Data centers deploying consolidation and self-optimization handle their workload with 30 to 40 percent fewer assets; this saves 20 percent on overall administration. Self-healing and other best practices yield another 5 to 10 percent in labor savings. This can amount to an annual savings of $1,320 per employee for a typical enterprise. SecurityMore than 85 percent of companies experienced security breaches within the last 12 months, and more than 60 percent of companies acknowledged financial losses as a result. When a security incident occurs, IT organizations scramble to meet the challenge. Even if harm is prevented, many tangible and intangible costs are incurred: · Repair and Mitigation – the time and cost of finding the problem, repairing damage, recovering data and ensuring that the vulnerability is addressed to prevent future harm · Downtime – lost productivity, revenue and profit while the systems or applications are unavailable · Competitive Impact –loss of customers and market share because of system unavailability or customer dissatisfaction
Estimated security impacts per
incident for various internal and external The automated data center’s self-protecting features proactively reduce vulnerabilities, automatically distribute patches and reconfigure systems as needed, reducing security risks and saving companies 20 percent per year on security management and business impact costs. Virtualization and ProvisioningAutomated data centers’ virtualization and provisioning features are estimated to save companies 30 to 40 percent on hardware and software, by avoiding establishing the systems for peek load. The automated data center automatically allocates assets where needed, supporting changing business priorities and meeting routine and peak performance requirements. Net savings can easily top $1,000 per year, per employee, based on a typical enterprise, which spends $1,633 per employee, per year for data center hardware and software, and an additional $1,496 per employee, per year on purchased software. High AvailabilityIt’s difficult for organizations to quantify the cost of downtime. How long downtime lasts is crucial. A workgroup losing just a few minutes can easily make up the time, but hours of downtime can mean invalid transactions or a permanent loss of clients.
Estimated downtime impact per
minute for various business Downtime for a typical computing infrastructure is estimated at $42,000 per hour. At this rate, a 1 percent improvement in availability can lead to millions in reduced risk and productivity losses.
The automated data center promises to be more resilient to downtime issues, helping companies achieve best-in-class or ‘good’ availability – typically a 50 percent reduction in downtime. For most organizations, this can mean saving millions of dollars annually. ConclusionThe technology will continue to advance throughout the next three years and IT management will have to augment its own skills and processes to profit from the promised benefits. All companies are different, but for those needing a resilient high performance infrastructure for business process improvement and e-business mission critical applications, the automated enterprise will deliver a solid ROI. ![]() Disaster Recovery Spending - How much is enough?Many organizations struggle to justify spending on disaster recovery projects, especially as they compete with things like new business applications, security solutions and migrations and upgrades for a share of diminishing IT budgets. The challenge for disaster recovery managers is assuring that spending remains at adequate levels, should the unlikely occur, and that important new technology, training and processes are implemented to mitigate or recover quickly from internal and external threats. To determine how much disaster recovery spending is needed, IT managers need to perform a three-step analysis: 1) Assess the downtime costs for crucial business systems 2) Calculate the potential disaster risks and impacts 3) Compare alternative plans to determine benefits of each proposed solution, and how much spending is enough. This review helps put the risks, possible projects, and benefits into perspective. Step 1: Determining Downtime CostsTypically, risk is measured per hour of downtime, quantifying the value of lost revenue and productivity. The revenue loss is based on the number of transactions in an average day, times the average value of the transactions. For example, an e-commerce system records 1,000 sales transactions per hour at its busiest. On average, each sale is $45.00. If the system were unavailable, the business would lose $45,000 per hour. If restoration took five hours, the lost revenue impact would be $225,000. Step 2: Risk AssessmentOnce downtime per hour is understood, the team needs to detail all potential events, including system failures, accidental or intentional data destruction, human error and natural disasters.
For each potential business risk, assign a probability of occurrence and calculate how long recovery will take, using the current disaster recovery plan. For each business system, the downtime impact per hour can then be factored, leading to an estimated risk impact. Step 3: Compare Alternative Plans’ Costs and BenefitsUse a similar ROI-driven approach to identify which risk mitigation solutions will deliver the best performance. This identifies the financial benefit, as well as the correct amount of risk reduction and the most cost-effective solution. The Bottom LineIt’s important to examine the financial and business impact of a potentially disastrous event. While disaster recovery solutions can be costly, the risks associated with not having the proper protection in place could be devastating for a company.
Did You Know?IDC expects IT spending in the U.S. to be six
to eight percent higher in 2004 than it was in 2003. Forrester
expects a growth in IT spending as well, and predicts security
investments will lead IT priorities for the year, followed by
disaster recovery, PC replacements, existing application upgrades
and compliance with government regulations.
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