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Unified Business Intelligence Platform for Incident Management and Analytics

itransition.com

Business services

Marine

Offshore

Challenges in Incident Data Management and Analytics

Fragmented legacy systems with independent databases caused maintenance complexity and inconsistent client customization. Lack of centralized incident analytics platform hindered flexible reporting. Manual template creation for diverse client needs reduced efficiency. Disparate data models limited scalability and cross-system integration.

About the Client

Global risk management and safety assurance company operating in 70+ locations, specializing in classification, compliance, and engineering services for marine and offshore industries.

Strategic Goals for Unified BI Solution

Consolidate multiple legacy solutions into single scalable BI platform
Implement universal customization mechanisms via intuitive UI
Enable modular data upload capabilities with automated template matching
Integrate machine learning for automated incident classification
Optimize performance through database caching and streamlined architecture

Core System Capabilities

Customizable dashboard with interactive widgets and geolocation mapping
Drag-and-drop dashboard configuration tool with terminology customization
Modular data upload system with template persistence
Automated incident classification using NLP and Azure ML
Multi-format report generation with client-specific branding

Technology Stack Requirements

Microsoft SQL Server

React.js with DnD

Azure Machine Learning

Google Translate API

System Integration Needs

Third-party NLP APIs
Enterprise SSO systems
Cloud storage services

Operational Requirements

Horizontal scalability for 10k+ concurrent users
Sub-2-second data upload processing
Role-based access control
Cross-device responsive design

Expected Business Outcomes

Centralized platform will reduce system maintenance costs by 40% while decreasing data upload time from 3 minutes to 2 seconds. Machine learning integration will improve incident classification accuracy by 75%, enabling faster risk mitigation. Unified architecture will support unlimited client customization without code changes, accelerating onboarding by 60%.