Utilizing a Data Governance Framework to meet Logistics Industry Standards
The logistics industry handles an immense amount of data in its day-to-day operations. Managing this complex data for shipment tracking, carrier performance management, customer consent, and freight cost management through disparate data sources can be a challenge. Even more challenging is ensuring alignment with Industry standards.
In fact, only 11% of businesses in the T&L industry have a robust data governance framework in place.
Meeting standards like ISO 8000, GS1, GDPR, and EDIFACT can boost logistics operations and deliver better data integrity, visibility, and enhanced security.
Our guide explores the significance of data governance, data integration, and their impact on streamlined supply chains and informed decision-making.
In this whitepaper, you will learn
- What is a data governance framework, and how it’s applied in logistics
- How data governance practices deliver accurate insights for demand forecasting and other logistics processes
- What are the logistics industry standards for data governance
- Best practices in data stewardship, classification, quality management, and representation to achieve compliance
- Role of DataOps and Metadata Management as well as innovative concepts including Data Virtualization, Machine Learning, IoT, and Robotic Process Automation in creating a data governance framework.
Download now to learn how a solid data governance framework enriched with emerging technologies helps deliver centralized data management for logistics businesses.
The Future of Logistics is Data-Driven. Get your copy.