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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
Support de cours
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Des supports de cours seront disponibles après les modules respectifs
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Die Kursunterlagen werden nach den jeweiligen Modulen zur Verfügung gestellt
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Course materials will be made available after the respective modules
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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