Question 1

The user interface of a BI system is often referred to as a(n)________.

Accepted Answer

The answer of The user interface of a BI system...

Question 2

Fundamental reasons for investing in BI must be ________ with the company's business strategy.

Accepted Answer

The answer of Fundamental reasons for investing in BI must...

Question 3

The growth in hardware,software,and network capacities has had little impact on modern BI innovations.

Accepted Answer

A) True 
 B)False

Question 4

________ analytics help managers understand probable future outcomes.

Accepted Answer

The answer of ________ analytics help managers understand probable future...

Question 5

The very design that makes an OLTP system efficient for transaction processing makes it inefficient for

Accepted Answer

A) end-user ad hoc reports,queries,and analysis. 
B) transaction processing systems that constantly update operational databases. 
C) the collection of reputable sources of intelligence. 
D) transactions such as ATM withdrawals,where we need to reduce a bank balance accordingly. 
A) end-user ad hoc reports,queries,and analysis. 
B) transaction processing systems that constantly update operational databases. 
C) the collection of reputable sources of intelligence. 
D) transactions such as ATM withdrawals,where we need to reduce a bank balance accordingly.

Question 6

Successful BI is a tool for the information systems department,but is not exposed to the larger organization.

Accepted Answer

A) True 
 B)False

Question 7

Data generation is a precursor,and is not included in the analytics ecosystem.

Accepted Answer

A) True 
 B)False

Question 8

Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce.One reason for this is

Accepted Answer

A) centralized storage creates too many vulnerabilities. 
B) the "Big" in Big Data necessitates over 10,000 processing nodes. 
C) the processing power needed for the centralized model would overload a single computer. 
D) Big Data systems have to match the geographical spread of social media. 
A) centralized storage creates too many vulnerabilities. 
B) the "Big" in Big Data necessitates over 10,000 processing nodes. 
C) the processing power needed for the centralized model would overload a single computer. 
D) Big Data systems have to match the geographical spread of social media.

Question 9

Computerized support is only used for organizational decisions that are responses to external pressures,not for taking advantage of opportunities.

Accepted Answer

A) True 
 B)False

Question 10

What has caused the growth of the demand for instant,on-demand access to dispersed information?

Accepted Answer

A) the increasing divide between users who focus on the strategic level and those who are more oriented to the tactical level 
B) the need to create a database infrastructure that is always online and contains all the information from the OLTP systems 
C) the more pressing need to close the gap between the operational data and strategic objectives 
D) the fact that BI cannot simply be a technical exercise for the information systems department 
A) the increasing divide between users who focus on the strategic level and those who are more oriented to the tactical level 
B) the need to create a database infrastructure that is always online and contains all the information from the OLTP systems 
C) the more pressing need to close the gap between the operational data and strategic objectives 
D) the fact that BI cannot simply be a technical exercise for the information systems department

The user interface of a BI system is often referred to as a(n)________.

Fundamental reasons for investing in BI must be ________ with the company's business strategy.

The growth in hardware,software,and network capacities has had little impact on modern BI innovations.

________ analytics help managers understand probable future outcomes.

The very design that makes an OLTP system efficient for transaction processing makes it inefficient for

Successful BI is a tool for the information systems department,but is not exposed to the larger organization.

Data generation is a precursor,and is not included in the analytics ecosystem.

Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce.One reason for this is

Computerized support is only used for organizational decisions that are responses to external pressures,not for taking advantage of opportunities.

What has caused the growth of the demand for instant,on-demand access to dispersed information?

Descriptive Analytics I: Nature of Data,statistical Modeling,

Descriptive Analytics II: Business Intelligence and Data Warehousing

Predictive Analytics I: Data Mining Process, methods, and Algorithms

Predictive Analytics II: Text, web, and Social Media Analytics

Prescriptive Analytics: Optimization and Simulation

Big Data Concepts and Tools

Future Trends,privacy and Managerial Considerations in Analytics

Filters

Exam 1: An Overview of Business Intelligence,analytics,and Data Science

The user interface of a BI system is often referred to as a(n)________.

Fundamental reasons for investing in BI must be ________ with the company's business strategy.

The growth in hardware,software,and network capacities has had little impact on modern BI innovations.

________ analytics help managers understand probable future outcomes.

The very design that makes an OLTP system efficient for transaction processing makes it inefficient for

Successful BI is a tool for the information systems department,but is not exposed to the larger organization.

Data generation is a precursor,and is not included in the analytics ecosystem.

Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce.One reason for this is

Computerized support is only used for organizational decisions that are responses to external pressures,not for taking advantage of opportunities.

What has caused the growth of the demand for instant,on-demand access to dispersed information?

Descriptive Analytics I: Nature of Data,statistical Modeling,

Descriptive Analytics II: Business Intelligence and Data Warehousing

Predictive Analytics I: Data Mining Process, methods, and Algorithms

Predictive Analytics II: Text, web, and Social Media Analytics

Prescriptive Analytics: Optimization and Simulation

Big Data Concepts and Tools

Future Trends,privacy and Managerial Considerations in Analytics

Filters