Enterprise data architecture usually include the following work streams:
Effective data management involves a set of complex, interrelated processes that disable an organization to use its data to achieve strategic goals.
Test environments serve many uses:
An implemented warehouse and its customer-facing BI tools is a technology product.
Over a decade an organisation has rationalised implementation of party concepts
from 48 systems to 3. This is a result of good:
The DMBOK support’s DAMA’s mission by:
Please select the incorrect item that does not represent a dimension in the Data Values category in Data Quality for the Information age.
Reference and Master Data Management follow these guiding principles:
The best preventative action to prevent poor quality data from entering an organisation include:
Changes to reference data do not need to be management, only metadata should be managed.
Examples of business metadata include:
Different levels of policy are required to govern behavior to enterprise security. For example:
Reference data management entails the preventative maintenance of undefined domain values, definitions and the relationship within and across domain values.
Volume refers to the amount of data. Big Data often has thousands of entities or elements in billions of records.
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