Using Big Data to Advance Application Performance Engineering

Web applications are increasingly complex with more external dependencies and remote services, add in the sheer volume of transactions, and troubleshooting performance bottlenecks is now very challenging. IT teams need a solution that provides a combination of code-level transaction tracing, cross-tier tracking and a unique "Big Data" approach to rapidly identify the root cause of application performance problems.
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Forrester – Turn Big Data Inward With IT Analytics

Your business is complex. Big data promises to manage this to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, causing delays and downtime. Forrester predicts this will worsen. To combat this onslaught, you need machines to analyze conditions to invoke automated actions. To perform adaptive automation, you need IT analytics, a disruption to your monitoring and management strategy.

This report helps leaders prepare for IT analytics that turn big data efforts inward to manage the technology services that run your business. Register to get the full report.
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Forrester – Managing The Performance of Critical Applications

In conducting a survey of more than 150 IT professionals with direct responsibility for business-critical applications, Forrester found that enterprises are supporting corporate objectives of productivity and efficiency, a typical trend in times of economic uncertainty. The survey also revealed that the lack of performance and availability of critical and complex applications had direct and negative consequences on business productivity, business finances, and IT efficiency.
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Resolve Performance Issues Within Your Citrix Environment

Citrix offers significant benefits to IT organizations but alters the performance troubleshooting process due to its unique architecture. Breakthrough new technology flips the Citrix performance management paradigm on its head by providing unprecedented end-to-end visibility of user transactions traversing a Citrix server.
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The Risks of Using Spreadsheets for Statistical Analysis

Spreadsheets are widely used for statistical analysis; and while they are incredibly useful tools, they are useful only to a certain point. When used for a task they're not designed to perform, or for a task at or beyond the limit of their capabilities, spreadsheets can actually be dangerous. This paper presents some points you should consider if you use, or plan to use, a spreadsheet to perform statistical analysis. It also describes an alternative that in many cases will be more suitable.
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Cognos Express: How Analytics Make Midsize Companies More Profitable

While many large enterprises have adopted analytics technologies such as business intelligence (BI), performance management (PM), and predictive analytics, misperceptions about costs and risk have caused small and midsize companies to embrace these technologies far more slowly. See how investing in analytics tools can improve operating results by enabling managers to make decisions that are more fact based and data driven.
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Paths to Success: How to Make Business Analytics Work for the Midmarket

Large enterprises have long had access to Business Intelligence (BI) in various forms – analytics software integrated with accounting, process automation, sales force management, and other systems, that provide reporting to stakeholders appropriate to each function. Until recently, BI solutions for the midmarket were stymied by economics: enterprise solutions were too cost-intensive and required too much lengthy and difficult integration with companion systems and data-sources. Worse, as use of these systems evolved, it often turned out that valuable IT resources were required to maintain BI systems and their integrations, and create a myriad of custom reports needed by all the key stakeholders.
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