WGU D491 OA INTRODUCTION TO ANALYTICS

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WGU D491 OA INTRODUCTION TO ANALYTICS

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A data analyst is assigned to analyze sales data for a multinational retail company to identify which products have the highest profit margins.Which data quality requirement is most critical for this project?

• Consistency
• Completeness
• Accuracy
• Timeliness

Accuracy A data analyst is tasked with understanding customer satisfaction data and is emailed a file with the data.Which question should the data analyst ask about the data regarding where it is sourced from?

• Is the data backed up?
• Can the data be improved?
• Has the data been copied into multiple languages?
• When was the data collected?

When was the data collected?Which question can a data analytics project answer using descriptive analytics?

• What is the optimal inventory level for each product?
• Are there segments of customers whose purchase habits differ during the week

compared to the weekend?

• What are the most popular products at each store's location?
• Can future customer purchases be predicted based on past data? 1 / 4

pg. 2 What are the most popular products at each store's location?A manufacturing company collected data on production processes, equipment downtime, and maintenance logs.Which question can a data analytics project answer using diagnostic analytics?

• How can energy consumption be reduced during production processes without

affecting product quality?

• What is the cost per unit of production?
• What was the cause of the production process inefficiency that resulted in a six-

hour delay yesterday?

• Can future equipment failure be predicted based on past data?

What was the cause of the production process inefficiency that resulted in a six- hour delay yesterday?A healthcare company collected data on patient demographics, medical history, treatment outcomes, and hospital readmissions.Which question can a data analytics project answer using predictive analytics and the data collected by the healthcare company?

• Which treatments are most likely to result in lower readmission in the future?
• What were the causes of readmissions for the majority of patients?
• What are the demographics of those patients who have been readmitted?
• What caused the surge in readmissions last week?

Which treatments are most likely to result in lower readmission in the future?A retail company collected data on customer demographics, purchase history, and marketing campaigns.Which question can a data analytics project answer using prescriptive analytics?

• What is the best marketing strategy to target specific customer segments based on

their purchase history and demographics?

• Which products are the most profitable during the fourth quarter?
• Can customer demographics be used to target marketing campaigns more

effectively?

• What are customers likely to buy in the future? 2 / 4

pg. 3 What is the best marketing strategy to target specific customer segments based on their purchase history and demographics?A data analyst is planning a new analytics project for a retail company and needs to collect data from different sources to complete the project.

Which question should be asked regarding the sources and quality of the available data for the project?

• Will the data support the hypothesis?
• What is the time frame of the data, and how often is it updated?
• Is the data being obtained from a third party, a public company, or a private

company?

• Is the data in a .csv format or a .xls format?

What is the time frame of the data, and how often is it updated?A data analyst is planning a new analytics project for a toy manufacturing company. Customer survey data is provided.

Which question should be asked regarding the sources or quality of the data?

• Was the survey completed on a device connected to Wi-Fi?
• What font was used in the survey?
• Was the survey sent to a random sample of customers?
• Was the survey collected on a site or filled out via email?

Was the survey sent to a random sample of customers?A pharmaceutical company collected data on patient outcomes for a new drug it is testing.

Which question regarding the source or quality of the available data is most appropriate to ask before analysis?

• Did the data come from a completely unbiased source?
• Was the data collected in secret, without the knowledge of the doctors?
• Was the data collected from electronic health records (EHRs) of patients using

the drug?

• Can data be excluded to decrease the impact of side effects on the analysis? 3 / 4

pg. 4 Was the data collected from electronic health records (EHRs) of patients using the drug?Which data source for a retail company analyzing customer behavior is an example of an external source?

• Sales data from the company's website
• Customer demographic data from the loyalty program
• Social media activity of the company's competitors
• Employee surveys

Social media activity of the company's competitors What is data analytics?

• The process of analyzing data to extract insights
• The process of encrypting data to keep it secure
• The process of storing data in a secure location for future use
• The process of collecting data from various sources

The process of analyzing data to extract insights What is data science?

• The practice of using statistical methods to extract insights from data
• A field that involves creating data visualizations to provide insights
• The process of creating computer programs to automate tasks
• The study of how computers interact with human language

The practice of using statistical methods to extract insights from data How is data science different from data analytics?

• Data science focuses more on tracking experimental data, and data analytics is

based on statistical methods and hypotheses.

• Data science focuses on developing new algorithms and models, while data

analytics focuses on using existing models to analyze data.

• Data science focuses more on data visualization, while data analytics focuses on

data cleaning and preprocessing.

• Data science involves creating new algorithms, while data analytics uses existing

statistical methods.

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