[tabby title=»Performed»]
Data management projects are funded on the basis of cost-benefit analyses.
EExample Work Products
- Data management project budgets
- Data management funding approvals
- Funding requests that include cost-benefit analysis
[tabby title=»Managed»]
2.1 Data management initiatives are financed based upon funding criteria addressed by the business case.
Program funding is reviewed based on business cases, their degree of support for the data management strategy, and other factors. Benefits are tracked following the completion of the project and used to improve benefit estimation.
Refer to Business Case for more information on making prudent financial decisions that will ensure the sustainability of data management.
2.2 Stakeholders participate in and support data management program funding.
Refer to Governance Management and Data Management Function for
more information on the ownership, stewardship, and operational structure developed to understand the necessary stakeholders to be involved, and the structure necessary that requires funding.
2.3 Data management costs are mapped to business areas, operational functions, and IT.
Data management costs come from a variety of sources, from data acqui- sition costs, purchasing licenses to tools, IT system implementation and maintenance, and sta to manage all the activities.
Refer to Business Case to develop return on investment (ROI) expectations, as it is necessary to understand the costs of current activities, as well
as where those costs are being incurred, so that value formulas can be developed. It is only through this mechanism that qualified and quantified assessments can be made as to the value of the data management activities and informed decisions made on proposed changes.
2.4 Governance of the funding process is defined and implemented.
Example Work Products
- Data management business cases
- Data management program funding method
- Data management budget
- Management reports on mapping of data management costs to the overall program, business unit, and projects
- Governance documentation related to funding
- Data management funding criteria
- Budget planning process
- Metrics to measure investment and funding objectives Documented data management funding model
- Reports measuring data management benefits
- Prioritization criteria and mapping to data management strategy
- Metrics and analysis of program funding efectiveness
- Public presentations or white papers about data management funding
- Approved changes to program funding based on predictive analysis
- Presentations, white papers, articles, etc.
[tabby title=»Defined»]
3.1Data management program funding aligns with investment decision-making standards that are consistently employed across the organization.
A standard method for mapping costs and calculating benefits for data management is established and followed across the organization.
3.2 Program funding priorities align with the objectives and priorities of data management.
3.3 Defined measures determine the effectiveness of program funding with respect to its objectives and expected benefits.
Example Work Products
[tabby title=»Measured»]
4.1 Metrics are defined and statistically analyzed to evaluate the effectiveness and accuracy of program funding in meeting organizational objectives.
Example Work Products
[tabby title=»Optimized»]
5.1 Lessons learned from organization-wide program funding for data management are shared with industry peers.
5.2 Optimization techniques and predictive models are employed for analysis of the anticipated results of proposed modifications to program funding methods prior to implementation.
Example Work Products
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