Prepare Data For Exploration Course Challenge (Part 3)

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Kaplan University *

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Information Systems

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Feb 20, 2024

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docx

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Prepare Data For Exploration Course Challenge (Part 3) 21. Now that you're familiar with the data, you want to build trust with the team at Garden. You decide to impress them by taking the initiative to reach out to your social media followers. You explain that Garden is a new client, and you show them the pictures of Garden's sandwich deliveries from the client file. Then, you ask them if they have any photos of sandwich deliveries that you can evaluate. This is an example of going above and beyond expectations and a great way to build trust.  True  False (Correct) 22. Consider and respond to the following question. Select all that apply. Our data analytics team often uses both internal and external data. Describe the difference between the two.  External data came from a company's own systems. Internal data came from the organization.  External data is often generated from within the company. Internal data is generated outside the organization.  Internal data is often generated from within the company. External data is generated outside the organization. (Correct)  Internal data came from a company's own systems. External data comes from outside the organization. (Correct) 23. For your final question, your interviewer explains that Sewati Financial Services cares about its clients' trust, and this is an important responsibility for the data analytics team. They do this by:  protecting clients from unauthorized access to their private data  ensuring freedom from inappropriate use of client data  getting consent to use someone's data He asks: Which data analytics practice does this describe?  Sharing permissions  Encryption  Data privacy (Correct)  Bias 24. Reviewing the data enables you to describe how you will use it to achieve your client's goals. First, you notice that all of the data is first-party data, which means that it was collected from outside sources.

 True  False (Correct) 25. Now, you review the data on delivery times and the distance of customers from the restaurant. The data in column D is an example of nominal data.  True  False (Correct) 26. You arrive 15 minutes early for your interview. Soon, you are escorted into a conference room, where you meet Kai Harvey, the senior manager of strategy. After welcoming you, he begins the behavioral interview. Consider and respond to the following question. Select all that apply. Our data analytics team often surveys clients to get their feedback. If you were on the team, how would you ensure the process does not cause potential bias?  Give participants enough time to answer each survey question. (Correct)  Make sure the wording of the survey question does not encourage a specific response from participants. (Correct)  Include clients with disabilities in the survey sample. (Correct)  Instruct participants to share their name and contact information. 27. Consider and respond to the following question. Our analysts often work within the same spreadsheet, but for different purposes. How could filtering help in this situation?  Filtering enables you to highlight the header row  Filtering simplifies a spreadsheet by only showing you the information you need (Correct)  Filtering encrypts the spreadsheet so only you can access it  Filtering enables you to sort the data in a meaningful order 28. Scenario 1, questions 1-13 You've been working at a data analytics consulting company for the past six months. Your team helps restaurants use their data to better understand customer preferences and identify opportunities to become more profitable. To do this, your team analyzes customer

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