Deck 11: Analytics and Its Implications

Question 1

One of the best known uses of data analytics in business is:

A) overdue bill collection.
B) hiring employees.
C) targeting market communications to specific customers.
D) hiring consultants.

Answer 1

C

Question 2

The oldest form of analytics is:

A) predictive analytics.
B) descriptive analytics.
C) prescriptive analytics.
D) comparative analytics.

Answer 2

B

Question 3

One major source of data for analytics is:

A) government.
B) index cards.
C) search engine data.
D) newspapers.

Answer 3

A

Question 4

First-degree or complete price discrimination relates to:

A) the minimum price customers are willing to pay.
B) the maximum price customers are willing to pay.
C) the preferred product based on personal preference.
D) the number of products customers are willing to purchase.

Question 5

All of the following are applications for big data and analytics EXCEPT:

A) business.
B) science and technology.
C) security and public health.
D) personal finances.

Question 6

________ is arguably the most common concern by individuals regarding big data analytics.

A) Saving money
B) Taking up large amounts of computer storage
C) Personal privacy
D) Processing time

Question 7

Companies learn a lot about customers because they leave clues in all of the following ways EXCEPT:

A) actions taken when navigating a company website.
B) how they write code.
C) searches with search engines.
D) making comments about the company on social media.

Question 8

When online analytical processing (OLAP) studies last year's sales, this represents:

A) predictive analytics.
B) descriptive analytics.
C) prescriptive analytics.
D) comparative analytics.

Question 9

Descriptive analytics is the oldest form of analytics.

Question 10

A researcher trying to explain why sales of garden supplies in Hawaii have decreased would be an example of ________ data mining.

A) explanatory
B) confirmatory
C) exploratory
D) laboratory

Question 11

________ are examples of Business Intelligences and Analytics 3.0 because they have millions of observations per second.

A) Administrative systems
B) Web-based interaction logs
C) Web-based customer platforms
D) Smartphones

Question 12

________ are not used for querying and analyzing data stored in data warehouses.

A) Word processing programs
B) OLAP tools
C) MOLAP tools
D) Dashboard tools

Question 13

Devices which collect personal health data are:

A) cool.
B) outdated.
C) wearable.
D) never going to be used.

Question 14

Descriptive, predictive, and ________ are the three main types of analytics.

A) adaptive
B) comparative
C) prescriptive
D) decisive

Question 15

________ tools commonly load data into intermediate hypercube structures.

A) OLAP
B) MOLAP
C) ROLAP
D) TLAP

Question 16

Application of statistical and computational methods to predict data events is:

A) predictive analytics.
B) descriptive analytics.
C) prescriptive analytics.
D) comparative analytics.

Question 17

When an organization must decide on optimization and simulation tools to make things happen it is using:

A) predictive analytics.
B) descriptive analytics.
C) prescriptive analytics.
D) comparative analytics.

Question 18

All of the following are categorizations of human activity affected by big data analytics EXCEPT:

A) business.
B) science and technology.
C) security and public safety.
D) trash collection.

Question 19

Allowing users to dive deeper into the view of data with online analytical processing (OLAP) is an important part of:

A) predictive analytics.
B) descriptive analytics.
C) prescriptive analytics.
D) comparative analytics.

Question 20

The goal of data mining related to analyzing data for unexpected relationships is:

A) explanatory.
B) confirmatory.
C) exploratory.
D) laboratory.

Question 21

Smartphones can produce millions of observations per second making them Business Intelligence and Analytics 3.0.

Question 22

Many developing countries are using advanced applications of analytics to utilize data collected from mobile devices.

Question 23

The applications of analytics are not just limited to business but extend to a wide-array of human activity.

Question 24

Using data to predict events is an example of predictive analytics.

Question 25

Human intervention is an important part of big data analytics.

Question 26

Descriptive analytics answers the question: "What happened yesterday?"

Question 27

Customers leave clues about their preferences when navigating a company's Web site.

Question 28

Predictive analytics answers the question: "How can we make it happen?"

Question 29

Analytics are typically divided into three major categories (i.e. descriptive analytics). Describe each category and provide an example question that each category would address.

Question 30

The three major types of analytics are: descriptive, predictive, and prescriptive.

Question 31

Discuss some of the technologies enabling infrastructure advances in data management

Question 32

OLAP, ROLAP, and TLAP are tools commonly used to load data into intermediate hypercube structures.