Data Management for Operational Excellence in Logistics

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.

• 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

• The logistics data landscape
• Data Quality & Validation
• KPIs Fundamentals and interpretation
• Data governance best practices

Participants will have access to a certificate of attendance delivered by the House of Training