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Adjustment

The data model includes measures for Adjustment Container Qty, Initial Container Qty, and PAC Quantity in the Adjustment dataset view. This model provides insights into the quantity of containers adjusted, the baseline initial quantity of containers, and the count of containers designated as PAC (Packaging Assembly Code) within the dataset.

Benefits of This Data Model​

  • Improved Container Quantity Insights: The data model allows for a detailed analysis of the adjustment container quantity, initial container quantity, and PAC quantity, providing valuable insights into container management.
  • Enhanced Understanding of Adjustments: By including dimensions such as Entrée Date, Fabrication Date, Rétention Date, and more, the model enables a comprehensive view of adjustments made, helping in understanding the timing and context of these actions.
  • Facilitated Stock Tracking: With dimensions like Ajustement Etat du stock and Initiale Etat du stock, the data model assists in tracking the state of stock before and after adjustments, aiding in inventory management and control.

Key Performance Indicators (KPIs)​

  • Adjustment Container Qty: The quantity of containers that have been adjusted in the Adjustment data model.
  • Initial Container Qty: The initial quantity of containers as a baseline in the Adjustment data model.
  • PAC Quantity: The quantity of containers designated as PAC (Packaging Assembly Code) in the Adjustment data model.

Available Visualisations​

View NameDescription
AdjustmentsView offering insights into data related to adjustments made within the dataset.