Data and analytics can bring immense business value. You will learn the workflow for delivering valuable analytical solutions, the differences between a business question and a well-formed analytical question, and the common challenges during the translation process.

Making a business impact

The "Value from analytics" workflow

Reasons to form analytical questions

Difference between business and analytical questions

The right analytical questions for the business question

Classifying business and analytical questions

Challenges in transforming business questions

The key to a well formed analytical question

Conquering the challenges in each step

Delivering value through data

In this chapter, you will learn best practices and valuable techniques to understand the business problem, form analytical questions and select the right analytical solutions.  You will also discover the main analytical techniques and for which type of questions they apply. 

Understanding the business question

Best communication practices

Asking the right questions

Forming the analytical questions

Re-phrasing the question

Choosing the relevant question

Types of analytical solutions

An advice for the analytics types

Questions for the right type of analytics

The best technique for the solution

Choosing the best analytical solution

Best practices for selecting the right technique

Analytical solutions in action!

Impactful solutions need the right questions

In this chapter, you’ll dive deeper into the various business questions received based on the four types of analytics. You’ll apply all you’ve learned to real-world use cases: to translate business problems into well-formed analytical questions and find the best techniques to solve the problem and generate value for the business.

What happened?

Choose the relevant descriptive questions

Mapping analytical questions

Map the descriptive technique to the right question

Why did it happen?

Options

Relevant

Not relevant

Relevant diagnostic questions

Map diagnostic questions

Map the diagnostic technique to the right question

What will happen?

Choose the best predictive analytics question

Map predictive questions

Map the predictive technique to the right question

What should we do next?

Choose the best prescriptive analytics question

Descriptive Analytics

Diagnostic Analytics

Predictive Analytics

Prescriptive Analytics

Solving the question classification challenge!

Congratulations!

Analytical questions in action

Business questions often come in different forms depending on the specific context and purpose. What is the best pricing strategy for our new product? How can we improve our customer retention rates? Translating those questions into well-formed analytical questions is essential to solving the business question using data. This exciting non-technical course will equip you with the skills you need to make a business impact through efficient translation to analytical questions and the selection of the appropriate analytical solutions!
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You’ll start by learning the workflow for delivering valuable analytical solutions and the main challenges faced during this process. You’ll also learn to distinguish business questions from analytical questions.
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Next, you’ll discover best practices and techniques to understand the business problem through efficient communication. You’ll also discover techniques to translate the business question into a well-formed analytical question. Then, you’ll learn the various analytical solutions available for each type of question as well as techniques to select the right solution for the question.
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You’ll finish by deep diving into real applications of analytical questions and solutions in various industries. You’ll discover the different business problems companies face in industries such as e-commerce, automotive, healthcare, and banking and how these problems are translated into analytical problems and solutions.


<h2> Learn to Solve Business Questions Using Data </h2>
Business questions often come in different forms depending on the specific context and purpose. What is the best pricing strategy for our new product? How can we improve our customer retention rates? Translating those questions into well-formed analytical questions is essential to solving the business question using data. This exciting non-technical course will equip you with the skills you need to make a business impact through efficient translation to analytical questions and the selection of the appropriate analytical solutions!
<h2>Discover the Difference Between Business and Analytical Questions</h2>
You’ll start by learning the workflow for delivering valuable analytical solutions and the main challenges faced during this process. You’ll also learn to distinguish business questions from analytical questions.
<br><br>
Next, you’ll discover best practices and techniques to understand the business problem through efficient communication. You’ll also discover techniques to translate the business question into a well-formed analytical question. Then, you’ll learn the various analytical solutions available for each type of question as well as techniques to select the right solution for the question.
<h2>Improve Business Outcomes with Well-Formed Analytical Questions</h2>
You’ll finish by deep diving into real applications of analytical questions and solutions in various industries. You’ll discover the different business problems companies face in industries such as e-commerce, automotive, healthcare, and banking and how these problems are translated into analytical problems and solutions.

Learn how to translate business questions into well-formed analytical questions and select the right analytical solutions.

Forming Analytical Questions

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Data Literacy Professional

Which companies constitute the top 20% of employers based on the number of employees and what is the cumulative % of users that they represent?

How can users be grouped based on their interests or behavior on the platform using the last 6 months' data?

How has the user satisfaction rate changed by month considering the last two years of rating data?

What are the most frequently used buzzwords in job postings based on job posts for the last two months?

What are the top five frequently used job titles of users based on the current user base?

Map the descriptive technique to the right question

Forming Analytical Questions

Hands-on interactive exercise