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Which of the following types of data can be easily accessed and analyzed when using descriptive, predictive, and prescriptive data analytics techniques?


A) structured data
B) unstructured data
C) nominal data
D) categorical data

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In the context of modeling types, supervised learning is referred to as prediction when the


A) target variable is continuous.
B) historical dataset is continuous.
C) historical dataset is categorical.
D) target variable is categorical.

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In supervised learning, the validation dataset is used to "learn" the relationship between the predictors and the target variable.

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Which of the following offers the ability to answer the question "What should happen?" in marketing analytics?


A) data query
B) text recognition
C) forecasting
D) image recognition

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Which of the following is most helpful for a business designing a future statistics collection initiative?


A) machine learning
B) secondary data
C) root-cause analysis
D) artificial intelligence

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Which step of the 7-step marketing analytics process typically involves other key stakeholders such as information technology specialists, customer service representatives, or the sales team of an organization?


A) model development
B) model and results communication
C) data preparation and feature selection
D) model deployment

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Between 2004 and 2020, the Google Trends search volume for the term "HR analytics" has been consistently higher than that for the term "marketing analytics."

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False

Shop-o-maniac, an e-commerce website, is experiencing low website traffic. Based on the 7-step marketing analytics process, what should be the first step taken by the firm to develop a plan to increase its website traffic?


A) data understanding and collection
B) business problem understanding
C) data preparation and feature selection
D) model development

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Which of the following statements is true of supervised learning?


A) In supervised learning, the target variable of interest is known.
B) The goal of supervised learning is to model the underlying structure and distribution in the data.
C) Supervised learning has no previously defined target variable.
D) Supervised learning is used to discover and confirm patterns in the data.

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A

Which of the following businesses would most likely determine demand for its product/service based on the season and the type of technology employed by users?


A) a travel services website
B) a matchmaking app
C) a medical information website
D) a food delivery mobile app

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In the context of determining the correct business problem, asking "What happened?" will help to determine the timeline of the problem.

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Which of the following types of secondary data includes ZIP code data showing tax return information by state and ZIP code level?


A) corporate information
B) mobile data
C) channel partners
D) government sources

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In the context of modeling types, supervised learning is called classification when


A) the target variable is continuous.
B) a testing dataset is used to evaluate the final selected algorithm.
C) the target variable is categorical.
D) an unlabeled dataset is used to develop an algorithm.

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In the second step of the 7-step marketing analytics process, a marketing analyst should


A) identify where the data is stored.
B) question whether the problem the business is presenting is, in fact, the correct problem.
C) identify the target and predictor variables.
D) select the method to use based on the target variable and problem.

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A

A lack of marketing analytics skills can leave a company in a situation described as "information rich but data poor."

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In the context of questions that help identify a business problem, which of the following questions helps to determine the context of the problem?


A) What do you think continues to drive this problem?
B) What divisions are impacted by this problem?
C) What is the current problem that needs solving?
D) What are the ethical implications of the analysis?

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According to the survey by KDnuggets, which of the following is the top software used by companies for marketing analytics?


A) Apache Spark
B) scikit-learn
C) Python
D) Tableau

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In the modeling development step of the 7-step marketing analytics process, the developed algorithm is run on the validation dataset to determine how well it will predict the relevant target variable (dependent variable).

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In supervised learning, the training dataset is used to


A) select the model that most accurately predicts the target value of interest.
B) assess how well the algorithm developed using the validation dataset estimates the target variable.
C) build the algorithm and "learn" the relationship between the predictors and the target variable.
D) evaluate the final selected algorithm and see how well it performs.

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Secondary data can be most helpful ________.


A) in addressing specific marketing problems
B) in formulating ideas about how to ask the right questions
C) since it does not rely on existing data that has been collected for another purpose
D) in identifying customers that are unhappy

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