1. Is there a policy mandating use of and reference to the business glossary? 2. How are organization-wide business terms, definitions, and corresponding metadata created, approved, verified, and managed? 3. Is the business glossary promulgated and made accessible to all stakeholders? 4. Are business terms referenced as the first step in the design of application […]
Monthly Archives: octubre 2017
Related Process Area
Data Lifecycle Management helps to identify all the current activities associated with data management to aid in development and management of the business glossary. Metadata Management will help to identify which data are used for what purposes, as well as identify what systems and models are using the data.
Functional Practice
[tabby title=»Performed»] 1.1 Business terms are defined for a particular purpose. Business term definitions may be needed for a development project or an external publication. Business terms may be defined within development project documentation. Partial glossaries may exist but within a line of business; glossaries developed for a business area may contain terms that may […]
Example Work Products
Example Work Products
Purpose
Develop the ownership, stewardship, and operational structure needed to ensure that corporate data is managed as a critical asset and implemented in an e ective and sustainable manner.
Purpose
Ensure the availability of adequate and sustainable financing to support the data management program.
Introductory Notes
Program funding processes enable sustainable financial support, based on overall benefits and costs. In addition, they define the allocation method for distributing costs among business sponsors and projects, and facilitate stakeholder alignment on data management funding. Program funding defines the framework used to evaluate and prioritize business cases (e.g., total cost of ownership, total lifecycle […]
Related Process Area
Data Lifecycle Management provides information about all business processes in the organization that require data management activities. This information is used to help identify the data governance management needs. Data Management Strategy provides guidance on development of data management priorities and strategy, which are used to help define the scope of data governance. Data Management […]
Goals
1. A process is established and followed for aligning data governance with business priorities, including ongoing evaluation and refinement to address changes in the business such as the need to encompass new functions and domains. 2. Data governance ensures that all relevant stakeholders are included, and that roles, responsibilities, and authorities are clearly defined and […]