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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.

2Basic
  • Practice
    Collect input data for a limited number of services and resources 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 IT assumptions as the main input into ongoing IT capacity 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.
  • Practice
    Define basic scenarios for some resource types to drive IT capacity forecasts.
    Outcome
    IT 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 reviews and refreshes.
3Intermediate
  • Practice
    Implement a process to capture input data for all modelled resources.
    Outcome
    The IT capacity models' accuracy is improved as the models are based on a good level of empirical data.
    Metrics
    • # of empirical data input sources.
    • % of resources covered by empirical data.
    • Frequency of data collection.
  • Practice
    Communicate any IT capacity data quality issues to the data owner immediately.
    Outcome
    There is an increased likelihood of accurate IT capacity model predictions due to increased quality of data inputs.
    Metrics
    • # of empirical data input sources.
    • % of resources covered by empirical data.
    • Frequency of data collection.
    • % of IT capacity inputs checked for quality.
  • Practice
    Operate a process for the collection of the 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.
  • Practice
    Define with the rest of the business a standard set of scenarios to drive IT capacity forecasts.
    Outcomes
    • IT capacity forecasting is driven by defined and agreed scenarios.
    • A more valid suite of possible scenarios informs IT capacity forecasts.
    Metrics
    • # of IT capacity scenarios agreed with the rest of the business.
    • Frequency of IT capacity scenario reviews and refreshes.
4Advanced
  • Practice
    Establish a process to verify the quality of all the data used as input for the IT capacity models.
    Outcome
    There is an increased likelihood of accurate IT capacity model predictions due to increased quality of data inputs.
    Metrics
    • # of empirical data input sources.
    • % of resources covered by empirical data.
    • Frequency of data collection.
    • % of IT capacity inputs checked for quality.
  • Practice
    Establish an escalation process for IT capacity data availability and data quality issues.
    Outcome
    There is an increased likelihood of accurate IT capacity model predictions due to increased quality of data inputs.
    Metrics
    • # of empirical data input sources.
    • % of resources covered by empirical data.
    • Frequency of data collection.
    • % of IT capacity inputs checked for quality.
  • Practice
    Include macro trends and actual business usage patterns in IT capacity planning.
    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.
  • Practice
    Implement a process to establish and agree consistent scenarios for all IT capacity forecasting activities across all resource types and business areas.
    Outcomes
    • IT capacity forecasting is driven by a consistent set of scenarios agreed with the rest of the business.
    • The IT capacity plans are informed by input from outside the organization to provide more robust forecasts.
    Metrics
    • # of IT capacity scenarios agreed with the rest of the business.
    • Frequency of IT capacity scenario reviews and refreshes.
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 empirical data input sources.
    • % of resources covered by empirical data.
    • Frequency of data collection.
    • % of IT capacity inputs checked for quality.
  • Practice
    Continually optimize the process for the collection and harmonization of input scenarios for IT capacity planning with key stakeholders.
    Outcome
    IT capacity plans are 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 reviews and refreshes.
  • Practice
    Regularly check and adapt scenarios to reflect changing business needs.
    Outcome
    IT capacity foreecasts are accurately aligned to meet current and future business demands and requirements.
    Metrics
    • # of business input assumptions for IT capacity planning.
    • Frequency of IT capacity scenario reviews and refreshes.