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Case Study: Analyzing Customer Churn in Tableau
GrundläggandeFärdighetsnivå
Uppdaterad 2024-06
TableauData Visualization3 timmar4 videos25 exercises2,200 XP23,768Uttalande om prestation
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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.Förkunskapskrav
Introduction to TableauAnalyzing Data in TableauCreating Dashboards in Tableau1
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.
2
Investigating churn patterns
You'll continue by leveraging the Tableau knowledge you gained from the prerequisite courses to further investigate why customers are leaving Databel.
3
Visualizing your analysis
In the last chapter, you'll create Tableau interactive dashboards and arrange them into stories, so that you can share your results with stakeholders.
Case Study: Analyzing Customer Churn in Tableau
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