Trend Analysis for RealTime IT Service Indicators



June 11, 2005 -- OmniAnalyser now offers an improved possibility to analyse long-term performance and operational data collected by its real-time components.

Such trend analysis allows for better planning and, as a consequence, more efficient resource allocation. Different users of OmniAnalyser metrics require different forecast periods - for example, an administrator is responsible for performance during every hour and day, an IT Manager is rather interested in weekly or monthly goals, while corporate executives would also look at the seasonal results and yearly comparisons.

This middle and long-term performance analysis would normally require corporate performance data for all these periods to be stored, which is practically impossible due to the high storage expenses. If the data is stored for a short period only, the longer-term trending can not be flexible enough.

OmniAnalyser has resolved this problem with a new feature - reports can be generated not only of original enterprise data but also of earlier reports that have been generated and stored for future use. It implies that up to 90% of storage space that is occupied with enterprise original data can be saved now. Instead, there will be stored just results of data processing which are not so resource-consuming and, as a consequence, practically any company can allow itself storing performance indicators for years.

Long-term statistics of operational and performance indicators allow accumulation and comparative analysis of IT performance, its correlation with resource usage and expenses, examination of monthly and seasonal performance fluctuations.





Trend Analysis for RealTime IT Service Indicators