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Data mining is a descriptive analysis technique used for finding nonlinear patterns in the data

A) True
B) False

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The volume dimension of Big Data refers to:


A) The amount of data being collected.
B) The pace of data flow, both in and out of a firm.
C) The consistency of the data collection process.
D) The diversity of types or forms of data.
E) The capacity of the storage units on which data is stored.

F) B) and C)
G) A) and D)

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Social network analysis studies social connections where the leader in a network is a______________and the multiple followers are nodes on the______________.

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Data in one context that is linked to data in another context, and another and another, such as Apple does to get a 360-degree view of customer purchasing is an example of______________-______________data.

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The descriptive analysis technique whose goal is to integrate and analyze data from various sources as opposed to relying on only a single source is known as:


A) Data harmonization
B) Data mining
C) Data fusion
D) Neural networks
E) Visualization

F) B) and C)
G) B) and E)

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The auto insurance company that uses an App to monitor your driving behavior, collecting thousands of data points in the process, as part of providing you a policy quote illustrates which dimension of Big Data?


A) Volume
B) Vastness
C) Velocity
D) Variety
E) Value

F) A) and D)
G) A) and E)

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A major restaurant chain wishes to understand consumer sentiment about its brand, so it analyzes social media comments, receipt survey data, call center conversation summaries from its CRM system and even reviews from websites like Urban Spoon. This illustrates which dimension of Big Data?


A) Volume
B) Vastness
C) Velocity
D) Variety
E) Value

F) B) and D)
G) A) and D)

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Data such as transactional data collected by banks, airlines and retailers is known as______________data.


A) Structured
B) Random
C) Collected
D) Unstructured
E) Big

F) D) and E)
G) A) and B)

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One way of understanding structured data is as filling rows of data on a spreadsheet.

A) True
B) False

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Taking multiple, random samples from an existing data set and running thousands of "what if" analyses, each with different assumptions about market conditions and other marketplace dynamics is an example of which of the following?


A) Regression analysis
B) Trend analysis
C) Time series analysis
D) Simulation analysis
E) Spectral analysis

F) B) and E)
G) A) and D)

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Starbucks creating over 800 "geofences" in the UK to send geotargeted text messages to customers is an example of using of mobile data.

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location-b...

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A great source of "Voice of the Customer" (VOC) data is:


A) Structured
B) Mobile
C) Omni-transactional
D) Unstructured
E) Social

F) A) and E)
G) A) and D)

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The variety dimension of Big Data refers to:


A) The amount of data being collected.
B) The pace of data flow, both in and out of a firm.
C) The different storage device capacities available for storing Big Data.
D) The diversity of types or forms of data.
E) The variety of businesses that utilize Big Data.

F) B) and E)
G) A) and B)

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Which of the following is NOT considered a descriptive analysis technique?


A) Data harmonization
B) Data mining
C) Data fusion
D) Neural networks
E) Visualization

F) C) and D)
G) A) and B)

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The analysis technique to consider when searching for nonlinear patterns in data is:


A) Visualization
B) Data fusion
C) Data modeling
D) Data mining
E) Neural networks

F) All of the above
G) C) and E)

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Recognizing patterns, such as identifying fraudulent insurance claims made by otherwise consistent policyholders, is an example of which kind of descriptive analysis technique?


A) Data screening
B) Visualization
C) Neural networks
D) Data fusion
E) Data mining

F) A) and B)
G) D) and E)

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The analysis that Major League Baseball uses to create its schedule each year, to optimize stadium commitments, travel, hotel, sponsorships and other factors, is an example of:


A) Descriptive analysis
B) Prescriptive analysis
C) Chronological analysis
D) Predictive analysis
E) Spatial analysis

F) All of the above
G) A) and E)

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Which of the following does NOT represent the purpose of Big Data or what it is all about?


A) Understanding current business practices better.
B) Generating more data inputs.
C) Seeking new opportunities to enhance future performance.
D) Establishing the processes to yield insightful outcomes.
E) All of the above are consistent with the value of Big Data.

F) A) and D)
G) A) and C)

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Creating charts, graphs, images, diagrams and even word clouds that allow for better communication of data is an example of:


A) Data fusion
B) Visualization
C) Neural networks
D) Harmonization
E) Data mining

F) A) and B)
G) A) and C)

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Even if all data integration issues are addressed, the problem that remains for most companies when it comes to integrated data is:


A) Finding ways to store it all
B) Backing up the data properly
C) Controlling access to the data
D) Finding the hidden insights within the data
E) Auditing the data regularly

F) C) and E)
G) A) and C)

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