Model Summary
The QQube Inventory Data Model combines inventory activity, current inventory values, open orders, and assembly activity in one prepared model. It supports analysis of quantities, valuation, consumption, COGS, profit margin, and future inventory movement.
| Model Type | Inventory activity and forecasting |
|---|---|
| Transaction Coverage | Inventory posting transactions, Sales Orders, Purchase Orders, pending builds, completed builds, transfers, and adjustments |
| Historical Coverage | Posting transaction history with current non-posting open orders and pending builds |
| Primary Use | Analyze on-hand inventory, movement, consumption, availability, and profitability |
Best Used For
- Forecasting stock availability from on-hand inventory, open Sales Orders, open Purchase Orders, and pending builds
- Comparing sales history with component consumption
- Reviewing reorder status, fill rate, and days out of stock
- Measuring inventory turnover and average days to sell
- Analyzing actual COGS, profit margin, and gross margin return on inventory
- Tracking lots, serial numbers, transfers, and inventory adjustments
Key Capabilities
- Includes linked posting and non-posting transactions.
- Combines inventory quantities, valuations, transfers, adjustments, completed builds, consumption, sales, purchases, open Sales Orders, open Purchase Orders, and pending builds.
- Supports base and printed unit-of-measure quantities.
- Provides actual COGS and profit margin values for inventory and assembly items.
- Supports bill-of-materials explosion for Sales Order transactions.
- Includes lot and serial number tracking.
Inventory-Specific Logic
Consumption and Forecast
Consumption
Consumption quantity and amount represent inventory removed from stock. For assemblies, component inventory is consumed when the assembly is built. Sales and adjustments are also included.
Forecast
Forecast quantity and amount combine Purchase Order and Sales Order values in one field. Forecast Date combines Purchase Order Expected Date and Sales Order Ship Date.
Document Classifications
| Document Category |
|
|---|---|
| Document Forecast Type |
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Sales Order BOM Explosion
Sales Order transactions can be expanded to the component level for bill-of-materials analysis.
Quantity, Rate, and Amount Fields
Native fields come from QuickBooks. QQube Field Extensions add printed-unit, assembly, adjustment, transfer, consumption, forecast, and calculated margin values.
Native Fields (28)
| Quantity | Rate and Percentage | Amount |
|---|---|---|
|
|
|
QQube Field Extensions (26)
| Quantity | Rate and Percentage | Amount |
|---|---|---|
|
|
|
Power BI and Excel Power Pivot Measures
The prepared examples include 345 visible DAX measures. Open the complete Inventory DAX measure reference or use the section links below.
| Measure Section | Visible Measures |
|---|---|
| Measures Without a Display Folder | 1 |
| .Base Measures | 51 |
| Amount Measures | 4 |
| Calendar Pattern Measures | 105 |
| Customer Measures | 24 |
| Inventory Measures | 15 |
| Item Measures | 2 |
| Quantity Measures | 137 |
| Vendor Measures | 6 |
For the calculation methods and supporting patterns used in QQube, see DAX Methods Used in PowerPivot and Power BI.
Included Dimensions
Calendars
Document
| Document Attributes | Line Attributes | Geography |
Lists
| Account (Inventory) | Account (Sales) | Bin Location |
| Class | Company | Currency |
| Customer | Customer Rep | Item |
| Item Sales Tax Code | Job | Job Rep |
| Other Name | Sales Rep | Ship Method |
| Site | Template | Terms |
| UofM | Vendor |
Linked Information
| Sales Linked Transactions | Account (Cash Source) |
Technical Details
| Model Structure | One prepared FACT table with related dimensions and relationships already included |
|---|---|
| Transaction Scope | Includes linked posting and non-posting transactions. |
| Historical Basis | Posting transaction history plus current open Sales Orders, Purchase Orders, and pending builds |
| Primary Values | Quantity, rate, percentage, amount, valuation, COGS, margin, consumption, and forecast fields |
| DAX Support | 345 visible measures for Power BI and Excel Power Pivot |
Expected Result
Customers can immediately analyze inventory activity, on-hand position, open demand and supply, assembly consumption, valuation, COGS, margin, and forecast values.
The FACT table, dimensions, relationships, fields, QQube extensions, and measures are already included.
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