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Cards In This Set
| Front | Back |
|
Attribute
|
Each characteristic or quality describing a particular entity.
193
|
|
Business intelligence (acro.)
|
BI
|
|
Data administration
|
Responsible for the specific policies and procedures through which data can be managed as an organizational resource
211
|
|
Business intelligence
|
Tools for consolidating, analyzing, and providing access to vast amounts of data to help users make better business decisions.
205
|
|
Data cleansing
|
Consists of activities for detecting and correcting data in a database that are incorrect, incomplete, imporperly formatted, or redundant;
corrects errors but also enforces consistency among different sets of data that originated in separate information systems.
212
|
|
Data definition
|
Language to specify the structure of the content of the database
199
|
|
Data dictionary
|
Where the information about the database would be documented
199
|
|
Data governance
|
Deals with the policies and processes for managing the availability, usability, integrity, and security of the data employed in an enterprise with special emphasis on promoting privacy, security, data quality, and compliance with government regulationss.
211
|
|
Data inconsistency
|
Where the same attribute may have different values.
195
|
|
Data manipulation language
|
A specialized language that is used to add, change, delete, and retrieve the data in the database
199
|
|
Data mart
|
A subset of a data warehouse in which a summarized or highly focused portion of the organization's data is placed in a separate database for a specific population of users.
204
|
|
Data mining
|
Provides insight into corporate data that cannot be obtained with OLAP by finding hidden patterns and relationships in large databases and infering rules from them to predict future behaviour.
207
|
|
Data quality audit
|
A structured survey of the accuracy and level of completeness of the data in an information system;
can be performed by surveying entire data files, surveying samples from data files, or surveying end users for their perceptions of data quality.
212
|
|
Data redundancy
|
The presence of duplicate data in multiple data files so that the same data are stored in more than one place or location.
195
|
|
Data warehouse
|
A mammoth database that stores current and historical data of potential interest to decison makers throughout the company.
204
|
