BUS 188 - Ch 9

________ is the process of obtaining, cleaning, organizing, relating, and cataloging source data. a) Data acquisition b) Data entry c)data mining d) Data integration

a) Data acquisition

________ are information systems that support the management and delivery of documents including reports, Web pages, and other expressions of employee knowledge. a)Transaction Processing Systems (TPS) b) Content Management Systems (CMS) c) Decision Support Systems (DSS) d) Executive Information Systems (EIS)

b) Content Management Systems (CMS)

In ________, statistical techniques can identify groups of entities that have similar characteristics. a) supervised data mining b) cluster analysis c) regression analysis d) neural networks

b) cluster analysis

A data ________ is a data collection, smaller than the data warehouse that addresses the needs of a particular department or functional area of the business. a) mine b) mart c) model d) cub

b) mart

________ is defined as information containing patterns, relationships, and trends of various forms of data. a) Business information b) Spatial intelligence c) Business intelligence d) Data mining

c) Business intelligence

________ is the process of creating value from intellectual capital and sharing that knowledge with employees, managers, suppliers, customers, and others who need it. a) Repository Management (RM) b) Information Management (IM) c) Knowledge Management (KM) d) Content Management (CM)

c) Knowledge Management (KM)

A ________ takes data from the data manufacturers, cleans and processes the data, and locates the data on the "data shelves". a) data link layer b) data mine c) data warehouse d) data model

c) data warehouse

OLAP stands for ________. a) object-oriented analytical protocol b) organizational lead analysis process c) online analytical processing d) object-based lead analysis procedure

c) online analytical processing

________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction. a) Data optimization b) Data warehousing c) Data normalization d) Data mining

d) Data mining

________ is a term that refers to the level of detail represented by the data. a) Complexity b) Normalization depth c) Reliability d) Granularity

d) Granularity