Case Study: Analyzing Customer Churn in Tableau

PodstawowyPoziom umiejętności

Zaktualizowano 06.2024

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

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Kontynuując, akceptujesz nasze Warunki korzystania, naszą Politykę prywatności oraz fakt, że Twoje dane są przechowywane w USA.

Opis kursu

Are you ready to apply your Tableau skills to a real-world dataset?

Apply your Tableau skills with a Case Study

For subscription-based businesses, reducing customer churn is a top priority. In this Tableau case study, you'll investigate a dataset from an example telecom company called Databel and analyze their churn rates.

Understand why customers churn

Analyzing churn doesn’t just mean knowing what the churn rate is: it’s also about figuring out why customers are churning at the rate they are, and how to reduce churn. You'll answer these questions by creating calculated fields and various visualizations in Tableau, such as dual-axis graphs and scatter plots. You'll make your graphs dynamic by using filters and parameters, and combine everything into a story to share your insights.

Wymagania wstępne

Introduction to Tableau Analyzing Data in Tableau Creating Dashboards in Tableau

Exploratory analysis

In this first chapter, you'll start exploring the new dataset and revisit creating calculated fields in Tableau to get a better understanding of why customers are churning.

Opis kursu

Apply your Tableau skills with a Case Study

Understand why customers churn

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