Why Are a Quarter of Databel's Customers Leaving? An Excel Answer

Thu, 06 Mar 2025 00:00:00 +0000

Databel is a fictional US telecom from DataCamp’s case study “Analyzing Customer Churn in Excel,” which I took on during my self-study retraining, before Masterschool. The case ships with a suggested solution; I built the dashboard I would actually want on my desk if 26.86% of my customers were walking out the door.

The numbers tell a specific story. Of 6,687 customers, 1,796 churned. Nearly half of them (44.82%) left for a competitor, with customer-service attitude a distant second at 15.98%. Churn climbs past 40% for customers aged 79 to 88, concentrates in short-tenure accounts, and spikes geographically: California churns at 63.24%, wildly out of line with every other state. Each of those findings is one click deep in the dashboard, with dynamic filtering and an interactive state map doing the work a static report can’t.

Under the hood it runs on modern Excel: dynamic array formulas (LET, SWITCH, FILTER, PIVOTBY) instead of hidden helper columns, so the whole pipeline from raw data to dashboard stays inspectable in one workbook. The full transformation from raw export to final dashboard is documented step by step in the repository’s changelog.

Watch the walkthrough:

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Why Are a Quarter of Databel's Customers Leaving? An Excel Answer