Thriving in the age of Data and AI

Thriving in the age of Data and AI

May 2025

Multiple Choice

When we want to study “Which ice cream flavor sell the most?”, which type of analysis do we use?

• Descriptive analytics

• Diagnostic analytics

• Predictive analytics

• Prescriptive analytics

Multiple Choice

Why do we use diagnostic analytics?

• Find potential causes of events or reasons for behaviors

• Get to know the data

• Forecast a process or sequence

• Make informed, data-driven decisions

Multiple Choice

When we want to study “Why is customer satisfaction rate for the airline declining?”, which type of analysis do we use?

• Descriptive analytics

• Diagnostic analytics

• Predictive analytics

• Prescriptive analytics

Multiple Select

You have recently started working as a data analyst for “CozySpace.com”, an online marketplace for short-term rentals. You are preparing a proposal to your new team based on the “Value from analytics” workflow on how to approach the business requests to improve the impact of your analysis work on the business.

Define relevant reasons that make a strong case for your proposal. (Choose max 3 options)

• Often the business questions don’t provide enough direction to allow the analyticals team to perform an analysis

• A well-formed analytical question results in less time needed to conduct the analysis

• The translation process ensures that the business question is described in a language that can help use data and analytics to answer it

• A well-formed analytical question helps use more advanced analytics techniques to solve the problem.

• A well-formed analytical question gives clear guidance on what analytical solution should be used.

Multiple Choice

Given the case study: “A set of transactions on an account has been flagged as possibly fraudulent. How should we proceed?”, which type of analysis do we use?

• Descriptive analytics

• Diagnostic analytics

• Predictive analytics

• Prescriptive analytics

Multiple Choice

Your colleague is performing a data analysis about the popularity of different airlines and comes to you for advice. He shows you a collection of tweets he has gathered from X. Can this be used for data analysis?

• Yes, but only if supplemented with numerical data

• No, text cannot be used in data analysis

• Yes, this can be used for data analysis

Multiple Choice

What is not a characteristic of prescriptive analytics?

• Provides better insights than the other types of analytics

• Builds on predictive analytics

• Results in a recommended course of action

• Looks at the future

Multiple Choice

What can we conclude about causes of an event with the help of diagnostic analytics?

• It can suggest potential causes.

• It is the wrong type of analytics to say anything about causes.

• Only root cause analysis is suited to find causes.

• It can be used to prove causality.

Multiple Choice

Your colleague continues his analysis of airline tweets. He has built a model that estimates the tweet's sentiment (positive, negative, or neutral) and shows you his first results.

Which type of analytics did he most likely use for this analysis?

• Descriptive analytics

• Diagnostic analytics

• Predictive analytics

• None of the above

Multiple Select

Danika works as an analyst for an online food ordering and delivery platform called MealDrop. She has received the following business question from the Operations team: “How can we improve our delivery times and increase efficiency?”

Select 3 most relevant analytical questions that can be used to answer the business question.

• Which cities and customer demographics have on average the longest and shortest delivery times?

• What is the primary cause of delays in the delivery process using the last 3 months of delivery data?

• How can we improve our profitability and reduce costs?

• How many orders can be fulfilled by our drivers per day, and how can we optimize their routes for efficiency?

• Which marketing and advertising campaigns generated the most sales with new customers last year?

Multiple Select

Choose 2 techniques we can use in diagnostic analytics?

• Hypothesis testing

• Outlier detection

• Root cause analysis

• Rule-based system

• Time series forecasting

Multiple Choice

During the translation process there are several factors that contribute to unclear or irrelevant analytical questions.

What is the most common challenge to tackle during the step of forming the analytical questions?

• The complexity of the business questions.

• The tight timelines to deliver the analytical insights.

• The large conceptual distance between business processes and data/algorithms.

• The data may not be available, or not of sufficient quality to provide reliable insights.

Multiple Choice

When we want to study “Which team is most likely to win the next FIFA World Cup?”, which type of analysis do we use?

• Descriptive analytics

• Diagnostic analytics

• Predictive analytics

• Prescriptive analytics

Multiple Select

You are a new data scientist that joined Danika’s team last month at the online food ordering and delivery platform MealDrop. While reviewing the backlog of questions for your analytics team, you have noticed that some of them are business questions received by the business teams, and the rest are analytical questions formed by your team members.

Choose max 3 business questions to help you and your new team proceed with the next steps.

• What is the most effective way to increase the number of orders placed through our online platform?

• What is the correlation between specific menu items and their impact on order volumes and profitability?

• Which approach should we use to attract new customers and retain existing ones?

• What are the demographic characteristics of potential new markets, and how do they compare to our current customer base?

• How can we expand our business into new markets and geographies?

​Thank you!