MIS 4330 CHAPTER 13 QUZ

Business intelligence is a framework that allows a business to transform data into information, information into knowledge, and knowledge into wisdom.
FALSE
TRUE
Business intelligence (BI) architecture is composed of data, people, processes, technology, and the management of such components.
TRUE
FALSE
A data store is used by data analysts to create queries that access the database.
TRUE
FALSE
Master data management’s main goal is to provide a partial and segmented definition of all data within an organization.
FALSE
TRUE
Operational data and decision support data serve the same purpose.
FALSEE
TRUE
Queries against operational data typically are broad in scope and high in complexity.
TRUE
FALSE
Normalizing fact tables improves data access performance and saves data storage space.
TRUE
FALSE
Periodicity, usually expressed as current year only, previous years, or all years, provides information about the time span of the data stored in a table.
TRUE
FALSE
Multidimensional data analysis techniques include advanced computational functions.
TRUE
FALSE
A star schema is designed to optimize data query operations rather than data update operations.
FALSE
TRUE
The ROLLUP extension is used with the GROUP BY clause to generate aggregates by the listed columns, including the last one.
FALSE
TRUE
A _____ is optimized for decision support and is generally represented by a data warehouse or a data mart.
data visualization
data analysis tool
ETL tool
data store
_____ are in charge of presenting data to the end user in a variety of ways.
Data visualization tools
Data analysis tools
Data stores
ETL tools
_____ provide a unified, single point of entry for information distribution.
Decision support systems
Dashboards
Data warehouses
Portals
In business intelligence framework, data are captured from a production system and placed in _____ on a near real-time basis.
decision support system
data warehouse
Dashboard
Portal
From a data analyst’s point of view, decision support data differ from operational data in three main areas: time span, granularity, and _____.
Sparsity
Dimensionality
transaction processing
Usability
Operational data are commonly stored in many tables, and the stored data represent information about a given _____ only.
Concept
Transaction
Database
Table
_____ can serve as a test vehicle for companies exploring the potential benefits of data warehouses.
Data marts
Data networks
Data cubes
OLAPs
The basic star schema has four components: facts, _____, attributes, and attribute hierarchies.
Dimensions
Relationships
Cubes
Keys
Computed or derived facts, at run time, are sometimes called _____ to differentiate them from stored facts.
Dimensions
Metrics
Schemas
Attributes
The attribute hierarchy provides a top-down data organization that is used for two main purposes: _____ and drill-down/roll-up data analysis.
Decomposition
de-normalization
Normalization
Aggregation
In star schema representation, a fact table is related to each dimension table in a _____ relationship.
many-to-many (M:M)
one-to many (1:M)
one-to-one (1:1)
many-to-one (M:1)
A _____ schema is a type of star schema in which dimension tables can have their own dimension tables.
Dimension
Starflake
Snowflake
Matrix
The reliance on _____ as the design methodology for relational databases is seen as a stumbling block to its use in OLAP systems.
star schema
Normalization
multidimensional schema
Denormalization
Conceptually, MDBMS end users visualize the stored data as a three-dimensional cube known as a _____.
database cube
hyper cube
data cube
multi-cube
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