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Create an Interactive Excel Supply Chain Dashboard Using Pivot Tables (No Code or Macros!)

Supply Chain Head Pro

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Create an Interactive Excel Supply Chain Dashboard Using Pivot Tables (No Code or Macros!)

45 просмотров · 7 дн. назад
Supply Chain Head Pro
3 подписчика
45 просмотров · 7 дн. назад
Learn how to create a professional Supply Chain KPI Dashboard in Microsoft Excel from scratch—without needing any knowledge of Macros, complex formulas, or coding! In this step-by-step tutorial, I use my 10+ years of Supply Chain department experience to show you exactly how to transform a messy raw dataset into a clean, dynamic, 1-click dashboard. We will cover how to structure your data, format pivot tables to handle millions clearly using custom codes (#,##0.00,,"M"), design matching pivot charts, build custom slicers, and create an automated timeline filter. Whether you track logistics, freight modes, order quantities, or total procurement spending, this dashboard layout will save you hours of work. If this video helps you, please hit the LIKE button and SUBSCRIBE for more practical supply chain tutorials! Download your free data set here. https://docs.google.com/spreadsheets/... 📌 TIMESTAMPS: 02:58 Pivot Table Creation for Order Stys 04:37 Pivot Chart Creation 05:48 Pivot chart settings 06:33 Number Formatting to show as Millions - Formula = #,##0.00,,"M" 08:17 Pie Chart Settings 12:50 Number Formatting to show as Millions and Dollars - Formula = $#,##0.00,,"M" 14:25 Donut Chart Settings- Changing percentages in to Values in Labels 16:59 KPI Settings 18:14 Renaming Pivot chart and table 19:06 Slicer Setting and formatting 19:53 Customized Slicer Formatting 23:18 TimeLine Setting and formatting 25:46 Report Connections on Slicers and timelines 27:46 Dashboard Setup 33.09 KPI card Settings 37:16 Explanation on icons 38:52 Final area formatting on pivot charts 💬 Have a specific supply chain data issue at your workplace? Drop a comment below and let's solve it together! #ExcelDashboard #SupplyChain #KPI #ExcelTutorial #Logistics #Procurement #DataAnalytics #PivotTable