Deck 8: Understanding Big Data and Its Impact on Business

Question 1

Veracity includes the uncertainty of data, including biases, noise, and abnormalities.

Answer 1

True

Question 2

Regression is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables when the focus is on the relationship between a dependent variable and one or more independent variables.

Answer 2

True

Question 3

Volume includes the uncertainty of data, including biases, noise, and abnormalities.

Answer 3

False

Question 4

Regression is a statement about what will happen or might happen in the future such as future sales or employee turnover.

Question 5

Velocity includes different forms of structured and unstructured data.

Question 6

The four common characteristics of big data are variety, veracity, volume, velocity.

Question 7

Affinity grouping analysis reveals the relationship between variables along with the nature and frequency of the relationship.

Question 8

Variety includes different forms of structured and unstructured data.

Question 9

Prediction is a statement about what will happen or might happen in the future such as future sales or employee turnover.

Question 10

Time-series information is time-stamped information collected at a particular frequency.

Question 11

Forecasts are predictions based on time-series information.

Question 12

Big data is a collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools.

Question 13

Distributed computing focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization.

Question 14

Advanced analytics focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization.

Question 15

Affinity analysis is a technique used to divide information sets into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible.

Question 16

Data mining occurs on structured data that are already in a database or a spreadsheet.

Question 17

Distributed computing processes and manages algorithms across many machines in a computing environment.

Question 18

Velocity includes the analysis of streaming data as it travels around the Internet.

Question 19

Optimization is a statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste.

Question 20

Volume includes the scale of data.

Question 21

Regression is a prediction based on time-series information.

Question 22

Clustering assigns records to one of a predefined set of classes.

Question 23

Affinity analysis determines values for an unknown continuous variable behavior or estimated future value.

Question 24

Advanced analytics processes and manages algorithms across many machines in a computing environment.

Question 25

Infographics can present the results of large data analysis looking for patterns and relationships that monitor changes in variables over time.

Question 26

Data-mining tools use a variety of techniques to find patterns and relationships in large volumes of information that predict future behavior and guide decision making.

Question 27

Affinity grouping analysis determines the relationship between variables and frequency of the relationship.

Question 28

Cluster analysis is a technique used to divide an information set into mutually exclusive groups.

Question 29

Classification analysis assigns information or data into one of a predefined set of classes.

Question 30

Estimation analysis determines which things go together.

Question 31

Classification segments a heterogeneous population of more homogeneous subgroups.

Question 32

Analysis paralysis occurs when the user goes into an emotional state of over-analyzing (or overthinking) a situation so that a decision or action is never taken, in effect paralyzing the outcome.

Question 33

Clustering segments a heterogeneous population of more homogeneous subgroups.

Question 34

Data artist is a business analytics specialist who uses visual tools to help people understand complex data.

Question 35

Optimization is a statistical process for estimating the relationships among variables.

Question 36

Infographics (information graphics) display information graphically so it can be easily understood.

Question 37

Estimation determines values for an unknown continuous variable behavior or estimated future value.

Question 38

Classification organizes data or information into predefined groups.

Question 39

Prediction is a statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste.

Question 40

Web mining analysis describes technologies that allow users to see, or visualize, data to transform information into a business perspective.

Question 41

Speech analytics is the process of analyzing recorded calls to gather information. It brings structure to customer interactions and exposes information buried in customer contact center interactions with an enterprise.

Question 42

Web analytics analyzes unstructured data associated with websites to identify consumer behavior and website navigation.

Question 43

Association detection occurs when the user goes into an emotional state of over-analyzing (or overthinking) a situation so that a decision or action is never taken, in effect paralyzing the outcome.

Question 44

Data visualization tools can help uncover correlations and trends in data that would otherwise go unrecognized.

Question 45

Data visualization tools move beyond Excel graphs and charts into sophisticated analysis techniques such as pie charts, controls, instruments, maps, time-series graphs, and more.

Question 46

In terms of big data, what includes different forms of structured and unstructured data?

A) Variety
B) Veracity
C) Volume
D) Velocity

Question 47

Social media analytics analyzes unstructured data associated with websites to identify consumer behavior and website navigation.

Question 48

Text analytics analyzes unstructured data to find trends and patterns in words and sentences. Text mining a firm's customer support email might identify which customer service representative is best able to handle the question, allowing the system to forward it to the right person.

Question 49

What is distributed computing?

A) Processes and manages algorithms across many machines in a computing environment
B) Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization
C) Occurs when the user goes into an emotional state of over-analyzing (or overthinking) a situation so that a decision or action is never taken, in effect paralyzing the outcome
D) A business analytics specialist who uses visual tools to help people understand complex data

Question 50

Speech analytics is heavily used in the customer service department to help improve processes by identifying angry customers and routing them to the appropriate customer service representative.

Question 51

Web analytics analyzes unstructured data to find trends and patterns in words and sentences.

Question 52

In terms of big data, what is variety?

A) Different forms of structured and unstructured data
B) Uncertainty of data, including biases, noise, and abnormalities
C) Scale of data
D) Analysis of streaming data as it travels around the Internet

Question 53

In terms of big data, what is volume?

A) Different forms of structured and unstructured data
B) Uncertainty of data, including biases, noise, and abnormalities
C) Scale of data
D) Analysis of streaming data as it travels around the Internet

Question 54

In terms of big data, what is veracity?

A) Different forms of structured and unstructured data
B) Uncertainty of data, including biases, noise, and abnormalities
C) Scale of data
D) Analysis of streaming data as it travels around the Internet

Question 55

Social media analytics analyzes text flowing across the Internet, including unstructured text from blogs and messages.

Question 56

What focuses on using data patterns to make forward-looking predictions to explain to the organization where it is headed?

A) Big data
B) Distributed computing
C) Advanced analytics
D) Data scientist

Question 57

What processes and manages algorithms across many machines in a computing environment?

A) Distributed computing
B) Advanced analytics
C) Analysis paralysis
D) Data artist

Question 58

In terms of big data, what is velocity?

A) Different forms of structured and unstructured data
B) Uncertainty of data, including biases, noise, and abnormalities
C) Scale of data
D) Analysis of streaming data as it travels around the Internet

Question 59

What focuses on using data patterns to make forward-looking predictions to explain to the organization where it is headed?

A) Distributed computing
B) Advanced analytics
C) Analysis paralysis
D) Data artist

Question 60

A data miner is a business analytics specialist who uses visual tools to help people understand complex data.

Question 61

Which of the following use a variety of techniques to find patterns and relationships in large volumes of information that predict future behavior and guide decision making?

A) Data analysis tools
B) Electronic analysis tools
C) Data-mining tools
D) Data integrity tools

Question 62

Which of the following forms of data mining assigns records to one of a predefined set of classes?

A) Clustering analysis
B) Classification analysis
C) Estimation analysis
D) Affinity grouping analysis

Question 63

What is the process of analyzing data to extract information not offered by the raw data alone?

A) Data integrity
B) Data mart analysis
C) Data mining
D) Data extraction

Question 64

What is the function of web analytics?

A) Analyze unstructured data associated with websites to identify consumer behavior and website navigation
B) Analyze structured data associated with a website
C) Filter information, both structured and unstructured, to help identify strong web customers
D) None of the choices are correct.

Question 65

In terms of big data, what includes the uncertainty of data, including biases, noise, and abnormalities?

A) Variety
B) Veracity
C) Volume
D) Velocity

Question 66

What is an example of using cluster analysis in business to create target-marketing strategies?

A) Google search
B) First name information
C) Zip code segmentation
D) Last name associations

Question 67

What is the technique used to divide information sets into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible?

A) Statistical detection
B) Cluster analysis
C) Association detection
D) Social media analytics

Question 68

Which of the following reveals the relationship between variables along with the nature and frequency of the relationship?

A) Affinity grouping analysis
B) Masking detection tool
C) Cluster grouping
D) Blocking barriers

Question 69

What is another term for data that is already contained in a database or a spreadsheet?

A) Structured data
B) Unstructured data
C) Text mining
D) Web mining

Question 70

What are the two main objectives associated with data mining?

A) Uncovering tactics and plans
B) Uncovering trends and patterns
C) Uncovering intelligence and unstructured data issues
D) Uncovering competitors and market advantages

Question 71

In terms of big data, what includes the analysis of streaming data as it travels around the Internet?

A) Variety
B) Veracity
C) Volume
D) Velocity

Question 72

What is advanced analytics?

A) A collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools
B) Processes and manages algorithms across many machines in a computing environment
C) Uses data patterns to make forward-looking predictions to explain to the organization where it is headed
D) Extracts knowledge from data by performing statistical analysis, data mining, and advanced analytics on big data to identify trends, market changes, and other relevant information

Question 73

What is a collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools?

A) Big data
B) Distributed computing
C) Advanced analytics
D) Data scientist

Question 74

In terms of big data, what includes the scale of data?

A) Variety
B) Veracity
C) Volume
D) Velocity

Question 75

What is another term for data that does not exist in a fixed location?

A) Structured data
B) Unstructured data
C) Text mining
D) Web mining

Question 76

What is big data?

A) A collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools
B) Processes and manages algorithms across many machines in a computing environment
C) Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization
D) Extracts knowledge from data by performing statistical analysis, data mining, and advanced analytics on big data to identify trends, market changes, and other relevant information

Question 77

What analyzes unstructured data to find trends and patterns in words and sentences?

A) Structured data
B) Unstructured data
C) Text analytics
D) Web analytics

Question 78

Which of the following is not a common form of data mining analysis?

A) Division organization
B) Classification
C) Estimation
D) Clustering

Question 79

What is a common association detection analysis technique for analyzing certain items to detect customers' buying behavior and predict future behavior?

A) Clustering factors
B) Mashup technology
C) Market basket analysis
D) Drill-down basket analysis

Question 80

What is distributed computing?

A) A collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools
B) Processes and manages algorithms across many machines in a computing environment
C) Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization
D) Extracts knowledge from data by performing statistical analysis, data mining, and advanced analytics on big data to identify trends, market changes, and other relevant information