The Vendor is required to provide a solution that automates transcript ingestion, optical character recognition (OCR) processing, and structured data extraction, with a primary focus on enabling efficient and accurate transfer credit evaluation workflows.
- Requirements
1. OCR and data extraction
• Process transcripts in pdf and image formats (scanned and native)
• Extract structured data including:
• Student identifiers
• Institution name(s)
• Course information (course number, title, credits, grade)
• Term structure and GPA
2. Data structuring and normalization
• Normalize transcript data across multiple institutional formats
• Provide configurable mapping to Clemson data structures
• Support standardization of course and credit data
3. Integration requirements
• Slate integration
o Integrate with technolutions slate at the university
o Document ingestion and attachment
o Workflow triggering and status updates
o Population of extracted data into applicant records
• Banner integration
o Integrate with ellucian banner
o Support
o Transfer credit evaluation processes
o Course equivalency workflows
o Posting of academic history where applicable
4. Workflow and exception handling
• Provide configurable workflow automation
• Support batch and real-time processing
• Include manual review interface for exception handling
• Provide audit logs and processing history
5. Reporting and analytics
• Provide reporting on:
• Processing volume
• Error rates and exceptions
• Processing time
• Allow export of data for institutional reporting
6. Technical requirements
• Cloud-based (SaaS preferred)
• FERPA-compliant data handling
• API-based integration capabilities
• Role-based access controls
• Support for single sign-on (SSO)
• Scalable for peak admissions cycles
7. Implementation, installation and setup
• Provide a detailed implementation plan
• Conduct discovery and requirements validation
• Configure OCR models and mapping rules
• Integrate with slate and banner
• Support testing and validation
• Support phased rollout (pilot → full implementation).
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