A unified data platform for maritime analytics and predictive modeling in Arctic operations

As the shipping industry embraces digitalization, marine operations generate vast and diverse data streams, offering significant opportunities for advanced analytics. This work presents an advanced software platform powered by a high-performance Online Analytical Processing (OLAP) database, centralizing data from multiple Canadian Coast Guard (CCG) vessels, including the Larsen, Laurier, Cygnus, Tully, and Tanu. The system integrates operational data (e.g., fuel consumption, navigation) and environmental datasets (e.g., ERA5 weather, ocean currents, ice charts) while harmonizing sensor nomenclature for consistency. For example, vessel-specific labels such as "ENG_RPM" and "ENGINE_SPEED" are standardized to a unified "Engine RPM" field using a middle vocabulary layer between database and, enabling consistent cross-vessel comparisons. The platform's visualization tool enables quality assurance (QA), exploratory data analysis (EDA), and comparative analysis across vessels using scatter plots, trajectory maps, and fuel consumption summaries. Its emissions module provides detailed hourly and trip-based emissions calculations, supporting regulatory compliance and environmental assessments. Benchmarking features include univariate and bivariate plots, time series boxplots, and heatmaps for cross-vessel comparisons under varying conditions. A key innovation is its accessible machine learning (ML) tool, allowing non-expert users to train predictive models on custom time intervals for forecasting metrics like fuel consumption, speed, and emissions. A dedicated ML Model Explainer dashboard enhances interpretability with regression statistics, feature importance rankings, and dependency charts. Additionally, the platform supports strategic planning through historical route mapping and predictive analytics, enabling users to test models under Arctic conditions. By integrating visualization, benchmarking, and ML-driven forecasting, this platform enhances maritime decision-making, optimizing operational efficiency and environmental sustainability across challenging marine environments.