Cost Planning
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.