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Description
Description
This training introduces logistics professionals to the core principles of data management in operations. Through real-world logistics examples, participants explore how data is captured, structured and used in performance monitoring and continuous improvement.
Objectives
Understand where logistics data comes from (WMS/TMS/ERP, scanning points, operational systems, etc. ) and how it flows through operations
Recognise common data quality issues (accuracy, completeness, timeliness, consistency, uniqueness) and how to detect them
Read, calculate, and interpret operational KPIs (e.g., OTIF/OTD, pick productivity, inventory accuracy, dock-to-stock, dwell time)
Link KPIs to root-cause analysis and daily/weekly performance routines
Create a basic KPI catalogue and data dictionary to standardize definitions across teams
Establish pragmatic governance (roles, owners, checks) and a simple improvement loop (PDCA) for data
Program
The logistics data landscape
Data Quality & Validation
KPIs Fundamentals and interpretation
Data governance best practices
Target Audience
Warehouse supervisors, transport planners, team leaders, or anyone involved in day-to-day logistics operations with little to no formal data training
Conditions
Course Material
The training material will be handed out at the beginning of the course.
Certificate
Participants will have access to a certificate of attendance delivered by the House of Training
Location
L-1615 Luxembourg
Luxembourg
Sessions and schedules
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