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Development of a Cloud-Based Marine Data Analytics and Visualization Platform
  1. case
  2. Development of a Cloud-Based Marine Data Analytics and Visualization Platform

Development of a Cloud-Based Marine Data Analytics and Visualization Platform

softkraft.co
Logistics
Supply Chain
Transport

Identified Challenges in Maritime Data Management and Analysis

The client faces difficulties in efficiently uploading, validating, and analyzing complex sensor data collected from a fleet of vessels. Manual data handling hampers operational oversight and timely decision-making. Current systems lack comprehensive visualization tools, flexible data filtering, and user role management, limiting the ability to extract actionable insights and scale the system for future growth.

About the Client

A mid-sized maritime fleet operator seeking to modernize data management and analysis of sensor information across its vessels.

Goals for Developing an Enhanced Marine Data Analytics Solution

  • Create a secure, scalable cloud platform enabling users to upload and process photometer sensor data in various formats (CSV, XLS, others).
  • Implement interactive data visualization tools that display vessel-specific and fleet-wide insights with detailed and summary charts.
  • Enable generation, download, and offline sharing of reports in PDF format for comprehensive analysis.
  • Provide advanced data filtering and analysis capabilities to handle complex, multi-parameter datasets.
  • Develop an admin panel for managing user roles, system parameters, and permissions, supporting multiple access levels.
  • Ensure the system is flexible enough to support future enhancements and increased data volume.

Core Functional Requirements for the Marine Data Platform

  • Support manual upload of CSV and XLS files containing sensor data.
  • Data validation and integrity checks during import to ensure accuracy and reliability.
  • Dynamic visualization dashboards displaying vessel-specific and fleetwide analytics with detailed and summary charts.
  • Export of visualizations and reports in PDF format for offline review.
  • Parameter configuration including recommended and acceptable ranges within different chemical or operational programs.
  • Robust user role management system with varying permission levels for operators, managers, and administrators.
  • Expandable data filtering options to support complex queries across multiple parameters and datasets.
  • UI improvements for report generation, saving, and sharing functionalities.

Preferred Technologies and Architectural Considerations

Cloud-based architecture for scalability and accessibility.
Modern JavaScript frameworks or libraries for frontend development.
Secure backend infrastructure supporting data validation and user management.
PDF generation libraries for report export.

Essential External System Integrations

  • File storage and management systems for data uploads.
  • Database systems for storing processed data and user information.
  • Security modules for authentication and authorization.

Non-Functional Requirements for System Reliability and Security

  • Scalability to handle increasing data volumes and user base growth.
  • Fast data processing and visualization rendering times to ensure a responsive user experience.
  • Secure access control and data protection measures.
  • High system availability with minimal downtime.

Expected Business Benefits from the Marine Data Analytics Platform

The implementation of this platform will enable vessel operators and fleet managers to upload, validate, and analyze sensor data more efficiently, leading to improved operational oversight. Fleetwide visualizations will empower proactive decision-making, and the system's scalability will support ongoing growth, reducing manual effort and enabling timely reporting. These improvements are projected to enhance data accuracy, operational efficiency, and user collaboration across the maritime organization.

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