ISA 235 Chapter 6 questions with accurate
answers
3 elements of Data Mining Ans✓✓✓ data: foundation for data-directed
decision making
discovery: process of identifying new patterns, trends, and insights
deployment: process of implementing discoveries to drive success
affinity grouping analysis Ans✓✓✓ reveals the relationship between
variables along with the nature and frequency of the relationships
algorithm Ans✓✓✓ mathematical formulas placed in software that
performs an analysis on a data set
analysis paralysis Ans✓✓✓ occurs when the user goes into an
emotional state of over-analysis (or over-thinking) a situation so that a
decision or action is never taken, in effect paralyzing the outcome
Anomaly Detection Ans✓✓✓ the process of identifying rare or
unexpected items or events in a data set that do not conform to other
items in the data set
attribute Ans✓✓✓ the data elements associated with an entity
, big data Ans✓✓✓ is a collection of large, complex data sets, including
structured and unstructured data, which cannot be analyzed using
traditional database methods and tools.
Business Intelligence Ans✓✓✓ -improve the quality of business
decisions
-organizational data is difficult to access
-organizational data contains structured data in database
-organizational data contains unstructured data such as voice mail,
phone calls, text messages, and video clips
-allows business user to receive data that is: reliable, consistent,
understandable, easily manipulated
business intelligence dashboard Ans✓✓✓ Tracks corporate metrics
such as critical success factors and key performance indicators and
includes advanced capabilities such as interactive controls, allowing
users to manipulate data for analysis.
business rule Ans✓✓✓ defines how a company performs certain
aspects of its business and typically results in either a yes/no or
true/false answer
business-critical integrity constraint Ans✓✓✓ Enforces business rules
vital to an organization's success and often requires more insight and
knowledge than relational integrity constraints.
answers
3 elements of Data Mining Ans✓✓✓ data: foundation for data-directed
decision making
discovery: process of identifying new patterns, trends, and insights
deployment: process of implementing discoveries to drive success
affinity grouping analysis Ans✓✓✓ reveals the relationship between
variables along with the nature and frequency of the relationships
algorithm Ans✓✓✓ mathematical formulas placed in software that
performs an analysis on a data set
analysis paralysis Ans✓✓✓ occurs when the user goes into an
emotional state of over-analysis (or over-thinking) a situation so that a
decision or action is never taken, in effect paralyzing the outcome
Anomaly Detection Ans✓✓✓ the process of identifying rare or
unexpected items or events in a data set that do not conform to other
items in the data set
attribute Ans✓✓✓ the data elements associated with an entity
, big data Ans✓✓✓ is a collection of large, complex data sets, including
structured and unstructured data, which cannot be analyzed using
traditional database methods and tools.
Business Intelligence Ans✓✓✓ -improve the quality of business
decisions
-organizational data is difficult to access
-organizational data contains structured data in database
-organizational data contains unstructured data such as voice mail,
phone calls, text messages, and video clips
-allows business user to receive data that is: reliable, consistent,
understandable, easily manipulated
business intelligence dashboard Ans✓✓✓ Tracks corporate metrics
such as critical success factors and key performance indicators and
includes advanced capabilities such as interactive controls, allowing
users to manipulate data for analysis.
business rule Ans✓✓✓ defines how a company performs certain
aspects of its business and typically results in either a yes/no or
true/false answer
business-critical integrity constraint Ans✓✓✓ Enforces business rules
vital to an organization's success and often requires more insight and
knowledge than relational integrity constraints.
