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Learn how to simplify pallet capacity and part pallet calculations in Power BI using the QUOTIENT and MOD DAX functions. In this presentation, Simon Harrison from Select Distinct explains how these functions can break down quantities into full pallets and leftover unitsu2014ideal for logistics, warehousing, and inventory reporting. Whether you're building dashboards or optimizing data models, this guide will help you write cleaner, more efficient formulas.<br><br>Read the full blog post: <br>https://www.selectdistinct.co.uk/2025/09/15/using-quotient-and-mod-in-power-bi<br><br>#PowerBI #DAX #InventoryManagement
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Quotient & Modin Power BI Power BI Tips and Timesavers https://www.bensound.com/ (energy) https://www.bensound.com/
Ever tried to calculate how many full pallets you can fill with boxes, and how many are left over? How to use Quotient and Mod in Power BI
Case Scenario: • For instance, you have a business which is operates in the logistics industry: • You have a total number of boxes • Each pallet holds a fixed number of boxes • You want to calculate: • Number of full pallets • Number of leftover boxes • Example: 1,250 boxes, • 48 boxes per pallet
Building It in Power BI: Step-by-step guide Step 1: Using the data provided (or your own dataset), select ‘enter data’ on Power BI and paste this into the table
Building It in Power BI: Step-by-step guide 2.Create a calculated column or measure for FullPallets = QUOTIENT([TotalBoxes],[BoxesPerPallet]) Copy and paste this DAX into Power BI The DAX expression should look like this:
Building It in Power BI: Step-by-step guide 3.Create another calculated column or measure for LeftoverBoxes = MOD([TotalBoxes],[BoxesPerPallet]) Copy and paste this DAX into Power BI The DAX expression should look like this:
Building It in Power BI: Step-by-step guide 4. Add visuals: KPI cards, matrix or bar charts
Power BI Dashboard Example: Adding visuals to the dashboard can provide clearer insights for businesses.
Why It Works? • Operational Insight: Helps warehouse teams plan shipments, assigning delivery slots or rotating shifts • Business Impact: Reduces overpacking, improves space utilisation • These functions are fast, intuitive, and easy to explain to non-technical user • Other Use Cases: • Packaging - Units per container • Time Tracking - Hours and minutes • Budgeting - Full payments vs remainder
For more Tips, Tricks and TimesaversVisit our blogBusiness Analytics Blog – Select DistinctCredit: elle.harrison@selectdistinct.co.uk