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Automating Power BI deployments for a Fortune 500 enterprise

How a manual, error-prone Power BI release process became a version-controlled CI/CD pipeline — built with PowerShell, the Power BI REST API, and Azure DevOps.

#azure-devops#power-bi#ci-cd#case-study

The situation

A Fortune 500 European consumer goods company was promoting Power BI reports and datasets between environments by hand — export, re-import, reconfigure, repeat. It worked, until it didn’t: broken references, silently overwritten datasets, and no real record of what shipped when.

What changed

Built a CI/CD framework for automated Power BI report and dataset deployments using PowerShell and the Power BI REST API, wired into Azure DevOps pipelines. Promotion between environments became consistent and version-controlled instead of manual and error-prone, cutting both deployment time and the risk of a bad release.

Why it matters

Power BI platforms rarely get the same deployment discipline as application code, even at large organizations — mostly because the tooling to do it properly isn’t obvious. Once it’s in place, it’s one less category of 2am incident.

Client details anonymized at the customer’s request. Figures and scope are accurate to the engagement.

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