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Comparison

Verix breakthrough technology provides automated, actionable insight directly to users without maintenance.

The Verix Discovery Suite uses innovative, new algorithms to comprehensively analyze your business to discover performance changes in your data. This patent-pending capability automatically analyzes data and requires no rules to maintain or technical models to build.  Rather, it learns directly from your data to understand what a truly unique event is. Automated analysis is more important now than ever as data volumes continue to grow organizations are less able to provide comprehensive analysis to end users, and users themselves do not have time to do this analysis themselves.

• Why do you need automated analytics?
• What are the challenges of using traditional data mining tools?
• What are the challenges of using a static rules-based system?

The need for automated analytics

The already time-consuming and frustrating task of accurately identifying and diagnosing network and application performance issues will continue to intensify as the application fabric infrastructure becomes more complex and interdependent due to the growing use of compound, multi-tier, and Service Oriented Architecture-based applications. To maintain high IT service levels in the face of these looming changes, operation teams will need to deploy technologies that provide early warning of impending performance problems by automating the detection and diagnosis of network and application flow anomalies.

The challenges of using traditional data mining tools

Traditional data mining tools require that users have statistic or analytic backgrounds to work with these tools. They are created for data analyst experts to use to answer specific business problems. In some cases slick user interfaces have been placed in front of these tools, but a deep knowledge of the data and statistics is still required. Additionally users do not have time to go out and search through the huge volumes of data looking for statistic anomalies. 

The challenges of using a static rules-based system

Static thresholds are virtually impossible to set properly, and they frequently require adjustment as the business situation changes. Set thresholds too high and you may miss problems or see them too late. Set them too low and the volume of alerts can be overwhelming. Turn them off altogether and you run the risk of missing critical notifications on serious problems within the business.