FSS++ Workshop Report: Handling Uncertainty for Data Quality Management

TL;DR

This workshop report discusses challenges and strategies for managing data quality under uncertainty in transport and supply chain management, emphasizing practical awareness and integration of data-analytical approaches.

Contribution

It provides insights into practical data quality issues and promotes awareness for handling uncertainty in supply chain data management.

Findings

Increased awareness of data quality challenges in supply chains

Identification of key uncertainties affecting data management

Recommendations for integrating data-analytical methods

Abstract

This report describes the results of the eSCF Awareness Workshop on Handling Uncertainty for Data Quality Management - Challenges from Transport and Supply Chain Management that was held on June 5, 2018 in Heeze, The Netherlands. The goal of this workshop was to create and enhance awareness into data quality management issues that are encountered in practice, for business organizations that aim to integrate a data-analytical mind set into their operations.