Every vessel movement, container scan, and port transaction now generates data — the challenge for most shipping companies is not collecting it, it is turning it into decisions. The Maritime Big Data and Business Intelligence for Smarter Port Operations Training Course by Arab British Fellowship Training Academy addresses exactly that gap, building professional capability in applying Maritime Big Data across modern shipping and port environments.

Delivered within Shipping, Maritime and Ports Training Courses under the Management category, the programme focuses on transforming complex shipping data into meaningful business intelligence. Participants learn to use predictive insights, analyse operational performance, and apply data analytics techniques that improve vessel management, port efficiency, logistics planning, and strategic maritime decision-making.

This course is designed for professionals who need to convert operational data into competitive advantage. By the end, participants will be able to:

• Explain the role of Maritime Big Data in improving shipping and port operations.
• Collect, process, and manage maritime data using modern digital tools.
• Apply analytics to support operational efficiency and strategic planning.
• Use predictive insights to improve forecasting, risk management, and resource allocation.
• Build data-driven reports and dashboards that support business intelligence.
• Improve decision-making through data-driven maritime strategies.

Target Audience

• Maritime managers and shipping executives.
• Port operation managers and supervisors.
• Marine data analysts and technology specialists.
• Logistics, supply chain, and business intelligence professionals.
• Vessel operators and fleet management teams.
• Professionals involved in maritime digital transformation.

Module 1: From Raw Data to Business Decisions — Why Maritime Big Data Matters

• Understanding the concept and importance of Maritime Big Data.
• Sources of maritime data: vessels, ports, cargo systems, and logistics networks.
• Challenges in managing complex shipping information.

Module 2: Collecting and Managing Reliable Shipping Data

• Methods of collecting and organising shipping data.
• Vessel monitoring systems, port information systems, and operational databases.
• Data quality management and integration techniques.

Module 3: Applying Analytics to Improve Maritime Performance

• Operational analytics for fleet and port management.
• Data visualisation and reporting techniques.
• Applying analytical models for better operational control.

Module 4: Predictive Insights and Business Intelligence for Shipping and Ports

• Forecasting vessel movements, maintenance needs, and operational risks.
• Using predictive models to improve planning and efficiency.
• Creating data-driven reports and performance dashboards.
• Using intelligence systems for strategic maritime planning.

Module 5: The Next Wave — AI, Smart Ports and the Future of Maritime Analytics

• Digital transformation in shipping and ports.
• Artificial intelligence and advanced analytics in maritime operations.
• Smart ports, connected vessels, and future opportunities.