Dimensions
This section covers a brief description of the available dimensions within the Power BI semantic model. These dimension tables provide the master data attributes needed to analyze purchasing across various perspectives.
Calendar
Time dimension providing comprehensive date attributes including year, quarter, month, week, and day levels for temporal analysis.
Client
Company dimension for multi-tenant scenarios, containing client/company information.
CurrencySource
Source currency dimension for currency conversion scenarios.
CurrencyTarget
Target currency dimension for currency conversion scenarios.
DataCategory
Data categorization dimension for classifying transactions.
DataSource
Data source dimension identifying the origin of transaction data.
DatabaseSource
Database source identification for multi-source scenarios.
Dimension 1-6
Flexible dimension attributes (Global Dimensions and Shortcut Dimensions) from Business Central for custom analysis perspectives.
Employee
Employee master data for analyzing responsibilities (e.g., purchaser).
Invent Location
Warehouse/location master data, essential for inbound logistics analysis.
Item
Item/product master data with attributes such as categories and replenishment settings relevant for procurement.
Payment Method
Payment method settings used on purchase documents.
Payment Terms
Payment terms for due date calculations and document conditions.
Purchase Document Type
Document type classifier (Order, Receipt, Invoice, etc.) used to group purchasing transactions.
Purchase Line Type
Line type classifier (Item, G/L Account, Resource) for purchase lines.
Purchase Invoice
Invoice header identifiers and external references for invoice-level analysis.
Purchase Order
Order header including order number and status for order-level analysis.
Resource
Resource master data for non-item purchase lines.
Shipment Method
Shipment method settings used on purchase documents.
Time Intelligence
Calculation group providing PY/YoY variants for time-based comparisons.
Unit
Unit of measure dimension for quantity conversions.
Vendor
Vendor master data including address and contact information for supplier analysis.