MIS Laudon Ch. 6

MANAGEMENT INFORMATION SYSTEMS Managing the Digital Firm    4th Edition   Ch. 6 Databases and Information Management

43 cards   |   Total Attempts: 182
  

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