Learn to Solve Business Questions Using DataBusiness 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!
Discover the Difference Between Business and Analytical QuestionsYou’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.
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.
Improve Business Outcomes with Well-Formed Analytical QuestionsYou’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.
Delivering value through dataFree
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 impact50 xpThe "Value from analytics" workflow100 xpReasons to form analytical questions100 xpDifference between business and analytical questions50 xpThe right analytical questions for the business question50 xpClassifying business and analytical questions100 xpChallenges in transforming business questions50 xpThe key to a well formed analytical question50 xpConquering the challenges in each step100 xp
Impactful solutions need the right questions
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 question50 xpBest communication practices50 xpAsking the right questions100 xpForming the analytical questions50 xpRe-phrasing the question50 xpChoosing the relevant question100 xpTypes of analytical solutions50 xpAn advice for the analytics types50 xpQuestions for the right type of analytics50 xpThe best technique for the solution100 xpChoosing the best analytical solution50 xpBest practices for selecting the right technique50 xpAnalytical solutions in action!100 xp
Analytical questions in action
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?50 xpChoose the relevant descriptive questions50 xpMap the descriptive technique to the right question100 xpWhy did it happen?50 xpRelevant diagnostic questions100 xpMap the diagnostic technique to the right question100 xpWhat will happen?50 xpChoose the best predictive analytics question50 xpMap the predictive technique to the right question100 xpWhat should we do next?50 xpChoose the best prescriptive analytics question50 xpSolving the question classification challenge!100 xpCongratulations!50 xp
In the following tracksData Literacy Professional
Konstantinos KattidisSee More
Data Analytics Lead
Konstantinos is a data analytics lead with over 9 years of experience in data and analytics. He worked in various industries, including automotive, logistics, and, most recently, e-commerce. He is passionate about enabling data-driven business decisions and creating value through data. In addition, he loves helping and inspiring other professionals to advance their data skills and careers. Outside of work, you will find him enjoying a workout at the gym or traveling to warm and sunny destinations.