« Extensity, Cognos, SymphonyRPM and Actuate top leaders in Performance Management | Main | How Important Is "Executive Intelligence" for Leaders? »

HyPerformix Delivers Predictive Performance Management Solution for SAP

HyPerformix, a predictive performance and capacity management solutions provider, announced the availability of Optimizer for SAP. This solution for SAP is the first predictive performance and capacity management solution created specifically to ensure the future performance and availability of existing SAP implementations.

A recent research study conducted at the 2006 SAPAdmin conference found that over 60% of SAP customers experience frequent performance and availability issues in their existing SAP implementations. The primary reason for these performance issues is the lack of visibility into the impact of workload, infrastructure and application changes on future performance and capacity requirements.

Many companies currently use monitoring tools to manage their SAP environment. While monitoring provides data on current SAP performance and capacity utilization, it does not give visibility into the impact of future changes. Often small increases in workload or simple infrastructure changes result in unexpected performance issues, increasing business risk and driving IT organizations into reactive "fire fighting."

Optimizer for SAP, based on HyPerformix's industry-proven IPS Performance Optimizer, enables SAP administrators and systems managers to predict and prevent performance and capacity issues in their SAP environment before they impact the business. Optimizer for SAP leverages performance data from SAP's CCMS monitoring environment to generate a predictive performance and capacity model. The model is used to perform "What if" analysis, predicting the impact of workload, infrastructure and configuration changes on each SAP business function and identifying future service-level violations before they impact the business. When future performance issues are identified, multiple preventive scenarios such as infrastructure upgrades or configuration changes can be modeled to identify the solution that delivers the best balance of performance, cost and risk.