Question 1

What is predictive-policing?

Accepted Answer

Many police departments are facing severe budget constraints that force them to reduce on-duty police personnel and services:Given these budget cuts,police departments need to find better ways of utilizing their personnel:Predictive-policing uses business intelligence to analyze data on past crimes,including location,date,time,day of week,type of crime,and related data,to predict where crimes are likely to occur:Police personnel are then stationed in the best locations for preventing those crimes.

Question 2

Explain the curse of dimensionality.

Accepted Answer

The curse of dimensionality is associated with the problem of data having too many attributes:If internal customer data is combined with customer data that has been purchased,there will be more than hundred different attributes to consider:To be able to select among them is a problem:The curse of dimensionality states that the more attributes there are,the easier it is to build a model that fits the sample data,but that is worthless as a predictor.

Question 3

________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction.

Accepted Answer

A)  Data encryption 
B)  Push publishing 
C)  Data mining 
D)  Pull publishing 
A)  Data encryption 
B)  Push publishing 
C)  Data mining 
D)  Pull publishing C

Question 4

Data marts are usually larger than data warehouses.

Accepted Answer

A) True 
 B)False

Question 5

________ techniques emerged from the combined discipline of statistics,mathematics,artificial intelligence,and machine-learning.

Accepted Answer

A)  Push publishing 
B)  Pull publishing 
C)  Data mining 
D)  Exception reporting 
A)  Push publishing 
B)  Pull publishing 
C)  Data mining 
D)  Exception reporting

Question 6

Problematic data are referred to as ________.

Accepted Answer

A)  rough data 
B)  clickstream data 
C)  granular data 
D)  dirty data 
A)  rough data 
B)  clickstream data 
C)  granular data 
D)  dirty data

Question 7

________ is the process of sorting,grouping,summing,filtering,and formatting structured data.

Accepted Answer

A)  Push publishing 
B)  Pull publishing 
C)  Cloud computing 
D)  Reporting analysis 
A)  Push publishing 
B)  Pull publishing 
C)  Cloud computing 
D)  Reporting analysis

Question 8

BigData has volume,velocity,and variation characteristics that far exceed those of traditional reporting and data mining.

Accepted Answer

A) True 
 B)False

Question 9

Differentiate between push publishing and pull publishing.

Accepted Answer

Push publishing delivers business intell

Question 10

Which of the following activities in the business intelligence process involves delivering business intelligence to the knowledge workers who need it?

Accepted Answer

A)  data acquisition 
B)  BI analysis 
C)  publish results 
D)  data mining 
A)  data acquisition 
B)  BI analysis 
C)  publish results 
D)  data mining

Question 11

Business intelligence enables police departments to better utilize their personnel through predictive-policing.

Accepted Answer

A) True 
 B)False

Question 12

________ are reports produced when something out of predefined bounds occurs.

Accepted Answer

A)  Exception reports 
B)  Static reports 
C)  Dynamic reports 
D)  Subscriptions 
A)  Exception reports 
B)  Static reports 
C)  Dynamic reports 
D)  Subscriptions

Question 13

Which of the following is a fundamental category of business intelligence (BI)analysis?

Accepted Answer

A)  data acquisition 
B)  data mining 
C)  push publishing 
D)  pull publishing 
A)  data acquisition 
B)  data mining 
C)  push publishing 
D)  pull publishing

Question 14

The ________ of business intelligence servers maintains metadata about the authorized allocation of business intelligence results to users.

Accepted Answer

A)  exception report 
B)  dynamic report 
C)  delivery function 
D)  management function 
A)  exception report 
B)  dynamic report 
C)  delivery function 
D)  management function

Question 15

The use of an organization's operational data as the source data for a BI system is not usually recommended because it ________.

Accepted Answer

A)  is not possible to create reports based on operational data 
B)  is not possible to perform business intelligence analyses on operational data 
C)  requires considerable processing and can drastically reduce system performance 
D)  considers only external data and not internal data regarding an organization's functions 
A)  is not possible to create reports based on operational data 
B)  is not possible to perform business intelligence analyses on operational data 
C)  requires considerable processing and can drastically reduce system performance 
D)  considers only external data and not internal data regarding an organization's functions

Question 16

External data purchased from outside resources are not included in data warehouses.

Accepted Answer

A) True 
 B)False

Question 17

Cluster analysis measures the impact of a set of variables on another variable.

Accepted Answer

A) True 
 B)False

Question 18

In the case of ________,data miners develop models prior to conducting analyses and then apply statistical techniques to data to estimate parameters of the models.

Accepted Answer

A)  pull publishing techniques 
B)  supervised data mining 
C)  push publishing techniques 
D)  unsupervised data mining 
A)  pull publishing techniques 
B)  supervised data mining 
C)  push publishing techniques 
D)  unsupervised data mining

Question 19

Structured data is data in the form of rows and columns.

Accepted Answer

A) True 
 B)False

Question 20

What is data granularity?

Accepted Answer

Data granularity refers to the level of

Exam 9: Business Intelligence Systems

What is predictive-policing?

Explain the curse of dimensionality.

________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction.

Data marts are usually larger than data warehouses.

________ techniques emerged from the combined discipline of statistics,mathematics,artificial intelligence,and machine-learning.

Problematic data are referred to as ________.

________ is the process of sorting,grouping,summing,filtering,and formatting structured data.

BigData has volume,velocity,and variation characteristics that far exceed those of traditional reporting and data mining.

Differentiate between push publishing and pull publishing.

Which of the following activities in the business intelligence process involves delivering business intelligence to the knowledge workers who need it?

Business intelligence enables police departments to better utilize their personnel through predictive-policing.

________ are reports produced when something out of predefined bounds occurs.

Which of the following is a fundamental category of business intelligence (BI)analysis?

The ________ of business intelligence servers maintains metadata about the authorized allocation of business intelligence results to users.

The use of an organization's operational data as the source data for a BI system is not usually recommended because it ________.

External data purchased from outside resources are not included in data warehouses.

Cluster analysis measures the impact of a set of variables on another variable.

In the case of ________,data miners develop models prior to conducting analyses and then apply statistical techniques to data to estimate parameters of the models.

Structured data is data in the form of rows and columns.

What is data granularity?

The Importance of Mis

Business Processes information Systems and Information

Organizational Strategy information Systems and Competitive Advantage

Hardware and Software

Database Processing

The Cloud

Organizations and Information Systems

Social Media Information Systems

Information Systems Development

Information Systems Management

Information Security Management

Collaboration Information Systems for Decision Making problem Solving and Project Management

Collaborative Information Systems for Student Projects

Mobile Systems

Introduction to Microsoft Excel 2013

Database Design

Using Microsoft Access 2013

Using Excel and Access Together

Network and Cloud Technology

Enterprise Resource Planning ERP Systems

Supply Chain Management

Hyper-Social Organizations and Knowledge Management

Database Marketing

Reporting Systems and OLAP

Geographic Information Systems GIS

Systems Development Project Management

Agile Development

Business Process Management

International Mis

Filters