Enterprise Search and Decision Support for a Naval Defense Force
Case Studies
Challenges & Solutions
Technical Environment
Results
Executive Summary
Client
A confidential national naval defense client
Industry
Government & Public Sector
Business Problem
The naval force maintained operational, maintenance, engineering, and technical information across multiple applications and repositories. Users searched each application separately, while senior officers lacked real-time visibility into fleet health and readiness.
Outcome
Unified operational, maintenance, technical, and naval knowledge in one enterprise search platform. Enabled rapid retrieval of ship, equipment, maintenance, and technical data. Supported faster, data-driven decisions for senior naval leadership. Improved fleet visibility through near-real-time dashboards.
Challenges
- Integrating operational, maintenance, and technical data from multiple websites and databases.
- Indexing structured records and unstructured technical documents for unified search.
- Delivering fast, accurate, secure search across sensitive naval information.
- Applying role-based access, security, and auditability to classified information.
- Providing near-real-time fleet analytics and KPI dashboards.
Solutions
- Developed an integrated Enterprise Search and Decision Support Platform.
- Built an automated crawler to index PDF, Word, HTML, scanned, and other technical documents.
- Integrated multiple operational and maintenance modules into one search interface.
- Implemented intelligent full-text search across ships, equipment, defects, maintenance records, and documents.
- Built near-real-time SAS Visual Analytics dashboards for fleet health, maintenance, readiness, and KPI monitoring.
- Implemented role-based access, audit logging, and scalable architecture.
Technical Environment
- SAS TEF Framework
- SAS Data Management
- SAS Visual Analytics
Results
- 60,000+ users accessed the platform.
- 15+ database modules were integrated.
- 5,000,000+ records were indexed.
- 15,000+ documents were processed with OCR.