1. Priorities and criteria for both discretionary and nondiscretionary investment are established and followed. 2. Sustainable program funding methods for making cost and benefit allocations, managing expenditures, and establishing priorities are defined and followed. 3. Program funding reflects business objectives and organizational priorities.
Monthly Archives: octubre 2017
Functional Practice
[tabby title=»Performed»] Level 1: Performed Data governance functions are performed. Governance often begins as project-based, aligned with development and operation of application data stores; for example, validation of logical and physical data models. Ownership, stewardship, and accountability for data sets are primarily project-based assignments. Example Work Products Governance process documentation Evidence of implemented governance processes […]
Core Questions
1. Does data governance provide mechanisms to facilitate collaboration and decision making across lines of business and IT functions? 2. Does the data governance structure clearly delineate defined responsibilities and accountability for data domains? 3. How does the organization define roles and responsibilities and ensure that all relevant stakeholders are involved? 4. Does data governance […]
Core Questions
1. Is there an approved set of investment criteria and priorities for data management? 2. How does data governance provide oversight for data management funding? 3. Was the program funding approach developed, evaluated, and approved by relevant stakeholders? 4. Does the funding model reflect the organization’s business models, priorities, and financial decision processes? 5. Are […]
Related Process Area
Business Case contains more information on making prudent financial decisions that will ensure the sustainability of data management. Data Management Strategy provides information on creating the organization’s vision and strategy to guide its plans and decisions for managing corporate data assets. Governance Management and Data Management Function give more information on the ownership, stewardship, and […]
Introductory Notes
Efective data governance management provides oversight, ensures stakeholder collaboration, and facilitates decisions for critical data subject areas. Data governance management addresses three basic data governance functions supporting the organi- zation’s data assets: building, sustaining, and compliance. Building is the creation of new capabilities through the new or enhanced governance structures; sustaining consists of the processes […]
Functional Practice
[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, […]
Example Work Products
Functional Practice
[tabby title=»Performed»] Level 1: Performed Data management objectives, priorities, and scope reflect stakeholder business objectives within projects. For a specific project, the business sponsor, business representatives, and project team define the priorities and objectives for the data set within scope. This may include identifying data scope and requirements, mapping to business process steps which create, […]
Related Process Area
Architectural Standards gives guidance to ensure that business strategy and architec- tural standards are aligned and consistent with business needs. Business Case provides information to help ensure that proposals to fund programs, initiatives, or specific projects are in line with the data management strategy. Communications helps in developing policies, standards, processes, progress announcements, and other […]