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Cost Planning

D4

Manage all costs associated with data analytics throughout its life cycles.

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for Cost Planning at each level of maturity.

2Basic
  • Practice
    Identify the cost of the major data analytics activities and submit these to the budget planning process.
    Outcome
    Improved decision-making occurs on how best to allocate funds for data analytics.
    Metrics
    • Total cost of the identified data analytical activities.
    • Cost of data analytics submitted for budget approval.
3Intermediate
  • Practice
    Identify and document all costs associated with data analytics so that they can be supported and approved during the budgetary process.
    Outcome
    The full cost of providing a data analytics service is documented and supported in budget allocations.
    Metric
    Total cost of data analytics.
4Advanced
  • Practice
    Involve all stakeholder groups in the budget planning for data analytics and align with the multi-year planning cycles of the business.
    Outcome
    Cost planning has moved from using operational and tactical approaches to a multi-year strategic approach.
    Metric
    Number of future years planned for data analytics funding.
5Optimized
  • Practice
    Obtain funding for data analytics from multiple sources, including central allocation and a broad range of alternative funding (e.g. projects, support) in alignment with the expected benefits.
    Outcome
    Research identifies new financing and funding options and selections are based on the benefits to the business.
    Metrics
    • Number of new data analytics funding sources identified and used in the last year.
    • Number of new data analytics funding based on projected benefits.