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Model Maintenance

A2

Monitor the modelling accuracy (for example, by comparing actual to forecast resource utilization) and manage efficiency (for example, automation and data availability) of IT capacity modelling. Refine and recalibrate the model's structure, parameters, and assumptions, as required to improve performance.

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for Model Maintenance at each level of maturity.

2Basic
  • Practice
    Ensure basic maintenance of IT capacity models.
    Outcome
    IT capacity models are maintained.
    Metric
    Actual IT capacity vs. plan.
  • Practice
    Generate and maintain IT capacity models manually.
    Outcome
    IT capacity models are reused but maintenance is manual.
    Metrics
    • % level of IT capacity model reuse.
    • % level of IT capacity model automation.
    • Frequency of the IT capacity model maintenance cycle.
3Intermediate
  • Practice
    Review and improve IT capacity models regularly based on on-going comparisons between planned and actual capacity.
    Outcomes
    • IT capacity models are well maintained and calibrated for improved accuracy based on actual vs. plan.
    • Models are reusuable.
    Metric
    Actual IT capacity vs. plan.
  • Practice
    Consider ease of maintenance as a requirement during IT capacity model design and apply automation as appropriate.
    Outcomes
    • IT capacity models are designed with maintenance in mind.
    • The modelling process is automated in parts.
    Metrics
    • % level of IT capacity model reuse.
    • % level of IT capacity model automation.
    • Frequency of the IT capacity model maintenance cycle.
4Advanced
  • Practice
    Review and improve IT capacity models based on error tolerances agreed with the rest of the business.
    Outcome
    IT capacity models are well maintained and their accuracy improved based on business input.
    Metric
    Actual IT capacity vs. plan.
  • Practice
    Structure IT capacity models for ease of maintenance and apply automation to improve efficiency of the model maintenance process.
    Outcomes
    • IT capacity models are easy to maintain.
    • The modelling and model maintenance process is automated.
    Metrics
    • % level of IT capacity model reuse.
    • % level of IT capacity model automation.
    • Frequency of the IT capacity model maintenance cycle.
5Optimized
  • Practice
    Regularly check the statistical properties of modelled data for changes, and adapt models accordingly.
    Outcome
    Understanding of statistical changes leads to higher accuracy of IT capacity model predictions.
    Metrics
    • Actual IT capacity vs. plan.
    • Frequency of analysis of statistical properties of modelled data.
  • Practices
    • Review and optimize the IT capacity model maintenance process on a continual basis.
    • Review and action opportunities for further or improved automation.
    Outcome
    The level of automation is adapted to the specific needs of the organization.
    Metrics
    • % level of IT capacity model reuse.
    • % level of IT capacity model automation.
    • Frequency of the IT capacity model maintenance cycle.