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Power BI framework catches data bugs in one week

A data engineer developed a Power BI reconciliation framework in just one week to prevent misattribution errors. This framework compares key aggregate metrics between the Power BI semantic model and the source ERP system daily. It has successfully identified two bugs, including one originating from an external source, improving data integrity and providing peace of mind. AI

影响 Provides a practical framework for improving data integrity in business intelligence tools, reducing errors and enhancing trust in reports.

排序理由 The article describes the creation and implementation of a specific tool (a reconciliation framework within Power BI) to solve a practical problem.

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Power BI framework catches data bugs in one week

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  1. Towards AI TIER_1 English(EN) · Sheth Priyanka ·

    I Built a Power BI Reconciliation Framework in One Week — It Caught Two Bugs That Weren’t Even Mine

    <h4><em>The one-page sanity check that now sits inside every Power BI model I own — and the surprise after six months that changed how I think about data engineering.</em></h4><p>₹15 lakhs of revenue had been misattributed across customer segments for three months before our fina…