Library of DAX measure for Power Bi Visuals and Calculations Power BI DAX Measures Library Introduction Welcome to the Power BI DAX Measures Library! This repository is a comprehensive collection of DAX measures that are essential for analyzing and visualizing data in Power BI, specifically tailored for manufacturing performance metrics. These measures are designed to help you quickly implement advanced analytics in your Power BI reports and dashboards, enhancing your decision-making process.
Contents Overview Getting Started Measures Included Usage Instructions Contributing License Contact Overview The DAX Measures Library provides a set of pre-defined, well-documented, and ready-to-use DAX calculations that target key performance indicators (KPIs) in manufacturing. These measures cover various aspects, including efficiency, quality, throughput, and inventory management, among others.
Getting Started To use the measures from this library, you should have a basic understanding of Power BI and its data modeling capabilities. Familiarity with DAX is beneficial but not required to get started, as each measure in this library comes with a detailed explanation and usage instructions.
Prerequisites Power BI Desktop or Power BI Service Access to your data source(s) Basic understanding of Power BI data modeling and DAX Measures Included This library includes measures for:
Performance Analysis
Performance vs Plan Month-over-Month Performance Variance Year-to-Date (YTD) Performance Quality Metrics
Scrap Rate and Variance First Pass Yield (FPY) Open Non-Conformance Reports (NCRs) Analysis Operational Metrics
Overall Equipment Effectiveness (OEE) Production Throughput Downtime Percentage ... and many more. Refer to the individual measure files for detailed descriptions and usage examples.
Usage Instructions To use a measure from this library:
Clone the Repository: Clone this repository to your local machine or download the DAX files. Import Measures: Import the measures into your Power BI report. You can copy the DAX expressions and paste them into the formula bar in Power BI Desktop. Customize Measures: Adjust the table names and column names in the DAX expressions to match your data model. Visualize Your Data: Use these measures in your reports and dashboards to create compelling and insightful visualizations. Contributing Contributions to this library are welcome! If you have a useful DAX measure or an enhancement to an existing one, please feel free to contribute by:
Forking the repository Creating a new branch (git checkout -b feature/YourFeature) Committing your changes (git commit -am 'Add some feature') Pushing to the branch (git push origin feature/YourFeature) Opening a new Pull Request