Question 1
Your CEO comes to you with a business problem. “We need to target the customers most likely to buy our new xPhone 9!” What’s the first thing you do?
Question 1 options:
A) Start collecting data on the customers.
B) Analyze your existing xPhone 8 customer data to see who would buy the new xPhone 9.
C) Review the strategic goals of the organization.
D) Form a focus group to see which customers are most likely to buy the new phone.
Question 2
What is the most important step in the analytics process?
Question 2 options:
A) Problem understanding
B) Data preparation
C) Modeling / analytics
D) Evaluation
Question 3
It’s said that, “The data you have relates to the previous problem, not the problem you’re facing now.” What does that mean?
Question 3 options:
A) The data you have is old, and you need current up-to-date data.
B) Every problem is different.
C) The data was formatted for the previous problem and you need to reformat it for the new problem.
D) You really don’t understand the problem until you start analyzing the data.
Question 4
You’ve handed the business problem question off to your analytics team. A week later they are back with the solution. What do you do?
Question 4 options:
A) Make sure that they answered the problem they were given.
B) Have them walk through the data sources and solution with you.
C) Convert the solution to an easy-to-understand visualization for deployment.
D) Make sure that their data has the proper volume, variety, velocity, and veracity.
Question 5
What’s the purpose of modeling?
Question 5 options:
A) It’s a formal method for representing all the data in the organization.
B) It’s creating a physical (three-dimensional) representation of the data.
C) It’s simplifying the data by eliminating elements that don’t relate to the problem.
D) It’s a statistical technique for converting data to visualizations.
Question 6
I want to see which customers are most likely to buy my new xPhone 9. What modeling technique should I use?
Question 6 options:
A) Regression
B) Co-occurrence grouping
C) Data reduction combined with summary statistics
D) Cluster analysis
Question 7
You’re the manager of the research and development division of a large company. You’re in charge of determining what features to add to the new xPhone 10. You have an analytics team to help you. What can you do so you’re in the best position to take advantage of their expertise?
Question 7 options:
A) Take some statistics courses so you can understand their analytics models.
B) Become an expert in analytics so you can effectively manage their activities.
C) Keep asking them questions so you learn what they do, and they learn more about your business.
D) They are the experts. Trust that they know what they are doing. Concentrate on your own problems.
Question 8
What’s one of the better ways to structure your business / analytics organization?
Question 8 options:
A) Keep a strict boundary between the business and analytics. That way you can have a more “pure” view of the data.
B) Don’t have a separate analytics division. Spread the experts throughout the organization.
C) Highly analytical people don’t have good social skills. It’s best to ignore them and let them work.
D) Have a centralized analytics division but make sure that you keep a close working relationship between your people and the”quants.?
Question 9
What’s the most important skill for a data scientist to have?
Question 9 options:
A) The ability to communicate with stakeholders.
B) The ability to create detailed, accurate statistical models.
C) The ability to focus intently on a problem until a solution is found.
D) The ability to have a wide-range of interests such as biology, chemistry, and physics.
Question 10
Surprise! You’re now the manager of the analytics division. How do you manage these people who hold “the sexiest job of the 21st century?”
Question 10 options:
A) Keep them on a tight leash and focused. They tend to wander off and explore things that have nothing to do with the business.
B) Give them the freedom to experiment and explore the business and their data.
C) Make sure that each one is assigned to a manager as a “shadow” to follow around and constantly ask questions to learn the business.
D) Pizza.
