Factors that have shown to play a key role in the success in the success of effective data management organizations does not include:
Disciplines within the enterprise architecture practice does not include:
Data asset valuation is the process of understanding and calculating the economic value of data to an organisation. Value comes when the economic benefit of using data outweighs the costs of acquiring and storing it, as
Data modelling is most infrequently performed in the context of systems and maintenance efforts, known as SDLC.
A System of Reference is an authoritative system where data consumers can obtain reliable data to support transactions and analysis, even if the information did not originate in the system reference.
Data profiling examples include:
The search function associated with a document management store is failing to return known artefacts. This is due to a failure of:
Naming standards for data domains should:
XML provides a language for representing both structures and unstructured data and information.
Enterprise data architecture description must include both [1] as well as [2]
The dependencies of enterprise technology architecture are that it acts on specified data according to business requirements.
A goal of reference and master data management is for data to ensure shared data is:
Enterprise Data Architects should support projects for potential:
The goal of Data Governance is to enable an organization to manage data as an asset. To achieve this overall goal, a DG program must be:
OCR is the abbreviation for Optical Character Recognition.
