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.

Analyzing customer churn in Tableau

Tableau analysis process

Data check time

Calculating churn

Investigating churn reasons

Digging deeper in churn categories

Use maps to your advantage

Exploratory analysis

You'll continue by leveraging the Tableau knowledge you gained from the prerequisite courses to further investigate why customers are leaving Databel.

Zooming out

Analyzing demographics

Age bins

Inspecting groups

Parameters

Unlimited plan

International calls

Advice to Databel

Contract type

Investigating churn patterns

In the last chapter, you'll create Tableau interactive dashboards and arrange them into stories, so that you can share your results with stakeholders.

Creating a cohesive story

Dashboarding best practices

Overview dashboard

Age brackets & groups

Payment method and contract type

International and data plan

Story time!

Wrap-up

Saving your work

Visualizing your analysis

Metadata sheet

Databel - Data

Workbooks

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

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. 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.


Are you ready to apply your Tableau skills to a real-world dataset?
<br><br> 
<h2> Apply your Tableau skills with a Case Study </h2> 
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.
<br><br> 
<h2> Understand why customers churn </h2> 
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.


Introduction to Tableau

Analyzing Data in Tableau

Creating Dashboards in Tableau

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

Case Study: Analyzing Customer Churn in Tableau

Datenanalyst im Tableau

Tableau Grundlagen

Dashboarding best practices

Case Study: Analyzing Customer Churn in Tableau

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