Understanding Big Data And Its Impact On – Exam Prep | Ch8

Business Driven Technology, 8e (Baltzan)

Chapter 8 Understanding Big Data and Its Impact on Business

1) 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.

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

3) Variety includes different forms of structured and unstructured data.

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

5) Volume includes the scale of data.

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

7) Velocity includes different forms of structured and unstructured data.

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

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

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

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

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

13) 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.

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

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

16) 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.

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

18) Forecasts are predictions based on time-series information.

19) 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.

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

21) 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.

22) Regression is a prediction based on time-series information.

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

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

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

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

27) Clustering segments a heterogeneous population of more homogeneous subgroups.

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

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

30) Classification organizes data or information into predefined groups.

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

32) Estimation analysis determines which things go together.

33) Classification segments a heterogeneous population of more homogeneous subgroups.

34) 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.

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

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

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

38) 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.

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

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

41) 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.

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

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

44) 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.

45) 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.

46) 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.

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

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

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

50) 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.

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

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

A) Distributed computing

B) Advanced analytics

C) Analysis paralysis

D) Data artist

53) 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

54) 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

55) 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

56) 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

57) 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

58) 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

59) 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

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

A) Variety

B) Veracity

C) Volume

D) Velocity

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

A) Variety

B) Veracity

C) Volume

D) Velocity

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

A) Variety

B) Veracity

C) Volume

D) Velocity

63) 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

64) 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

65) 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

66) 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

67) 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

68) 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

69) 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

70) 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

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

A) Division organization

B) Classification

C) Estimation

D) Clustering

72) 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

73) 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

74) 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

75) 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

76) 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.

77) 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

78) 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

79) 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

80) 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

81) What is prediction?

A) A statement about what will happen or might happen in the future such as future sales or employee turnover

B) 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

C) Forecasts based on time-series information

D) A statistical process for estimating the relationships among variables

82) What is optimization?

A) A statement about what will happen or might happen in the future such as future sales or employee turnover

C) Predictions based on time-series information

D) A statistical process for estimating the relationships among variables

83) What are forecasts?

A) Statements about what will happen or might happen in the future such as future sales or employee turnover

B) Statistical processes 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

C) Predictions based on time-series information

D) Statistical processes for estimating the relationships among variables

84) What is regression?

A) A statement about what will happen or might happen in the future such as future sales or employee turnover

C) Predictions based on time-series information

D) A statistical process for estimating the relationships among variables

85) What is a statement about what will happen or might happen in the future such as future sales or employee turnover?

A) Prediction

B) Optimization

C) Forecasting

D) Regression

86) What 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?

A) Prediction

B) Optimization

C) Forecasting

D) Regression

87) What are predictions based on time-series information?

A) Prediction

B) Optimization

C) Forecasting

D) Regression

88) What is a statistical process for estimating the relationships among variables?

A) Prediction

B) Optimization

C) Forecasting

D) Regression

89) What is classification analysis?

A) Determination of the values for an unknown continuous variable behavior or estimated future value

B) Determination of which things go together

C) Segmentation of a heterogeneous population of more homogeneous subgroups

D) Assignment of records to one of a predefined set of classes

90) What is estimation analysis?

A) Determination of values for an unknown continuous variable behavior or estimated future value

B) Determination of which things go together

C) Segmentation of a heterogeneous population of more homogeneous subgroups

D) Assignment of records to one of a predefined set of classes

91) What is affinity grouping analysis?

A) Determination of values for an unknown continuous variable behavior or estimated future value

B) Reveals the relationship between variables along with the nature and frequency of the relationships

C) Segmentation of a heterogeneous population of more homogeneous subgroups

D) Assignment of records to one of a predefined set of classes

92) What is clustering?

A) Determines values for an unknown continuous variable behavior or estimated future value.

B) Determine which things go together.

C) Segments a heterogeneous population of more homogeneous subgroups.

D) Assigns records to one of a predefined set of classes.

93) What assigns records to one of a predefined set of classes?

A) Classification

B) Estimation

C) Affinity grouping

D) Clustering

94) What determines values for an unknown continuous variable behavior or estimated future value?

A) Classification

B) Estimation

C) Affinity grouping

D) Clustering

95) What determines which things go together?

A) Classification

B) Estimation

C) Affinity grouping

D) Clustering

96) What segments a heterogeneous population of more homogeneous subgroups?

A) Classification

B) Estimation

C) Affinity grouping

D) Clustering

97) What determines values for an unknown continuous variable behavior or estimated future value?

A) Classification

B) Estimation analysis

C) Affinity grouping

D) Clustering

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

A) Classification

B) Estimation

C) Affinity grouping analysis

D) Clustering

99) What groups similar attributes together to discover segments or clusters, and then examine the attributes and values that define those segments?

A) Classification

B) Estimation

C) Affinity grouping

D) Clustering

100) What is data mining?

A) The common term for the representation of multidimensional information

B) A particular attribute of information

C) Use of a variety of techniques to find patterns and relationships in large volumes of information and infer rules from them that predict future behavior and guide decision making

D) The process of analyzing data to extract information not offered by the raw data alone

101) What describes technologies that allow users to "see" or visualize data to transform information into a business perspective?

A) Informing

B) Infographics

C) Data visualization