TeamQuest is a leading vendor in the Capacity Planning & Capacity Management field with more than 20 years of experience in these disciplines



Some unique features

  • Real Data federation
  • Connection modules to your main Monitoring solutions
  • Report creation doesn’t require any programming language knowledge
  • What-If scenarios
  • TeamQuest predictive capabilities are based on queuing theory.


  • “Strong user interface, modelling and automated analytics extending into some system administration functions”
  • “One of the most advanced predictive tool in the market thanks to its good mathematical underpinning and the queuing theory base”
  • “Predictive analytics for a broad scope of the infrastructure including power consumption and the major SAN providers through a partnership with IntelliMagic”
  • “This is a capable out of the box solution


  • Real Data federation:

Not invasive approach which allow to leverage already existing information; clients don’t have to start the process from scratch – yet again. TeamQuest doesn’t need any data transfer (ETL Extract, Transform, Load), but it automatically connects to the DB in use. This architecture (unique in the market) guarantees a quick implementation and immediate results.


  • Connection modules to your main Monitoring solutions. Connections to other tools, developed from time to time, are available out of the box and can be easily integrated. Should a connection to a DB not be available, it can be developed in a very short time.


  • Report creation doesn’t require any programming language knowledge. By using the drag-and-drop interface, a user can easily apply to the available data the most common analytical functions such as: Correlation, Range/Date Categorization, Trending, Condition/Date/Time Filtering, Sigma, Standard Deviation, Intercept, R-Squared Pareto, Percentile, etc.


  • What-If scenarios

Performances (SPEC CPU2006 Int Rate tests) of the Hardware currently available in the market are stored – and constantly updated – in TeamQuest Model (this list is updated monthly). By combining this information with the system utilisation data (from Tivoli or other Monitoring tools) and with Business data, TeamQuest Model presents a highly accurate prediction of future What-If scenarios based on the user inputs and on a highly sophisticate proprietary mathematical model. This allows finding the optimal configuration of the IT Systems taking into consideration the balance between the organisation’s actual needs and cost constraints. TeamQuest Model is used in consolidation projects (Physical and Virtual), platform migration, response time prediction of components in case of requests’ increment, and in other custom cases.


  • TeamQuest predictive capabilities are based on queuing theory: it calculates the current and future Services’ performances (through a parameter called TPI, TeamQuest Performace Indicator) rather than just monitoring the symptoms. This automatic process analyses and predicts the non-linear systems’ behaviour, reducing the risk not to have enough resources to support the agreed SLAs.


ROI Analysis

The main benefits of a Capacity Management & Capacity Planning solution like TeamQuest can be divided into 3 categories:

1.Cost savings

2.Decision support

3.Risk Mitigation/Reduction


In a Customer, TeamQuest installation in a “never optimized” IT environment with a low virtualization ratio : the normal/standard savings are estimated to be 20% of the costs and 90% of the time spent in manual activities.

Savings can be achieved in 3 areas:

  • CapEx: it’s not necessary to purchase additional HW; the divestment in HW results also in savings on licenses and maintenance
  • OpEx: Energy, cooling and general costs associated to running server savings
  • Salaries savings/resources reallocation on other activities: the automation of activities that are manually done today, will allow the resources involved in the Capacity Planning process to have more available time and to spend time on other more critical tasks


Another ROI component to take into account is the saving linked to the non-interruption of the services: a 2013 research from Ponemon on 563 US based companies shows that the average cost of IT Services interruption is 690,204 US$.