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Input Management

B1

Identify inputs required for IT capacity forecasting. Gather and validate input data for forecast scenarios.

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for Input Management at each level of maturity.

1Initial
  • Practice
    Collect data as needed.
    Outcome
    Increased likelihood of accurate model predictions for models fed with empirical data.
    Metrics
    • # of IT capacity empirical data input sources.
    • % of resources covered by IT capacity empirical data.
    • Frequency of IT capacity data collection.
  • Practice
    Monitor the actual IT capacity headroom for selected resources.
    Outcome
    The actual IT capacity headroom of individual resources is understood and can be acted upon.
    Metric
    # of IT resources monitored for IT capacity headroom.
2Basic
  • Practice
    Collect IT resource data on a regular basis.
    Outcome
    IT capacity modelling for some IT resources is based on up-to-date empirical data.
    Metrics
    • # of empirical data input sources.
    • % of resources covered by empirical data.
    • Frequency of data collection.
  • Practice
    Use basic model change scenarios, for selected resources to drive forecasts.
    Outcome
    Capacity forecasting is informed by basic change scenarios for some resources.
    Metrics
    • # of IT capacity scenarios agreed with the rest of the business.
    • Frequency of IT capacity scenario review and refresh.
  • Practice
    Use IT assumptions as the main input into the ongoing capacity modelling and planning.
    Outcome
    The IT capacity plans produced are largely based on IT driven assumptions and inputs.
    Metrics
    • # of IT capacity input assumptions.
    • Frequency of IT capacity input from IT.
3Intermediate
  • Practice
    Implement a process to capture IT capacity empirical data for all modelled resources.
    Outcome
    the IT Capacity model accuracy is improved as it is based on a good level of empirical data.
    Metrics
    • # of IT capacity empirical data input sources.
    • % of resources covered by the IT capacity empirical data.
    • Frequency of IT capacity data collection.
  • Practice
    Communicate the IT capacity data quality issues to data owner immediately.
    Outcome
    Increased the likelihood of accurate model predictions due to an increased quality of data inputs.
    Metrics
    • # of IT capacity empirical data input sources.
    • % of resources covered by the IT capacity empirical data.
    • Frequency of IT capacity data collection.
    • % of IT capacity inputs checked for quality.
  • Practice
    Agree with the rest of the business on a set of scenarios to use to drive IT capacity forecasts.
    Outcome
    IT capacity forecasting is driven by defined and agreed scenarios.
    Metrics
    • # of IT capacity scenarios agreed with the business.
    • Frequency of IT capacity scenario review and refresh.
  • Practice
    Operate a process for the collection of strategic direction, vision, business forecasts and operational objectives from the business for IT capacity planning.
    Outcome
    The IT capacity plans produced are informed by an ongoing flow of input from the business and are aligned to future business requirements.
    Metrics
    • # of IT capacity business input assumptions.
    • Frequency of IT capacity input from the business.
4Advanced
  • Practice
    Establish a process to verify the quality of all the data used as input for the IT capacity model.
    Outcome
    There is an Increased likelihood of accurate IT capacity model predictions, due to increased quality of the data inputs.
    Metrics
    • # of IT capacity empirical data input sources.
    • % of resources covered by IT capacity empirical data.
    • Frequency of IT capacity data collection.
    • % of IT capacity inputs checked for quality.
  • Practice
    Establish an escalation process for IT capacity data availability and data quality.
    Outcome
    There is an increased likelihood of accurate model predictions due to increased quality of IT capacity data inputs.
    Metrics
    • # of IT capacity empirical data input source.
    • % of resources covered by IT capacity empirical data.
    • Frequency of IT capacity data collection.
    • % of IT capacity inputs checked for quality.
  • Practice
    Implement a process to establish and agree consistent scenarios for all IT capacity planning activities across different resources and business areas.
    Outcome
    IT capacity forecasting is driven by a consistent set of scenarios agreed with the business.
    Metrics
    • # of IT capacity scenarios agreed with the business.
    • Frequency of IT capacity scenario review and refresh.
  • Practice
    Include macro trends and actual business usage patterns into IT capacity collection and input process.
    Outcome
    The IT capacity plans produced are calibrated to take account of any macro trends identified and actual usage patterns.
    Metrics
    • # of business macro trends included in IT capacity planning.
    • Frequency of IT capacity input from the business.
5Optimized
  • Practice
    Refine and optimize the IT capacity data collection process continually with key stakeholders.
    Outcome
    The IT capacity models maintain accuracy with a continual feed of refined, optimized empirical data.
    Metrics
    • # of IT capacity empirical data input sources.
    • % of IT capacity resources covered by empirical data.
    • Frequency of IT capacity data collection.
    • % of IT capacity inputs checked for quality.
  • Practice
    Optimize the IT capacity process for the collection and harmonisation of scenarios continually with key stakeholders.
    Outcome
    IT capacity forecasting is informed by a consistent set of scenarios that are continually reviewed and updated.
    Metrics
    • # of IT capacity scenarios agreed with the business.
    • Frequency of IT capacity scenario review and refresh.
  • Practice
    Continuously refine and optimize the IT capacity collection process with key stakeholders and discuss the impact on model predictions with all key stakeholders.
    Outcome
    Capacity plans are accurately aligned to meet current and future business demands and requirements.
    Metrics
    • # of business input assumptions for IT capacity planning.
    • Frequency of input from the business for the IT capacity plan.