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The key takeaway here is that inter-AP protocols are free, but controllers are not. In a market where all enterprise-class APs cost roughly the same, removing the controller hardware and feature licensing from the equation results in an immediate and extremely significant CAPEX decrease.
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In today's economic climate, IT organizations are looking for ways to achieve cost savings in the short term. Based on this study, the IT organizations achieved this goal by realizing an average payback period for JBoss Operations Network of a short 5.3 months - recovering their initial investments well within the first half-year of deployment.
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For customers running Sybase ASE 12.5 on Solaris 8, the long-planned end of support for that platform means that they must move their workloads to a new environment or face special support contracts. Moving to HP infrastructure brings immediate payback through lower support costs and reduction in power and cooling requirements.
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In this paper, we’ll introduce the mechanisms of cost savings with SIP trunk consolidation, using Siemens Enterprise Communications’ OpenScape Exchange overlay solution.
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Take a moment to see how many of these top 10 benefits you’re realizing with your HP Software solutions. And then remember: With IBM, you can achieve them all.
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Can your organization implement Hadoop clusters without being crippled by IT costs? This resource considers two major players offering structured analytics. Access now to see each of their cost-benefit results and discover the best choice for your business.
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In conducting in-depth surveys with 154 IT decision-makers in North America and the UK, Forrester found that enterprises achieved better IT efficiency and better support for corporate goals by providing integrated, real-time, and accurate information through the implementation of customizable, real-time dashboards.
EBOOK:
In this e-book, you'll learn how to manage data quality efforts during an economic downturn and find out what trends are emerging in the data quality market. You’ll also learn about common mistakes, the financial costs of poor data quality and how data quality tools and strategies can improve data quality.
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This paper illustrates a new way of thinking about the funding of IT software projects, one that considers funding in terms of investment, and value as an expansive, longitudinal variable.
