Business Need
NJIT receives transcripts from various colleges, universities, and high schools via multiple sources, namely, the National Student Clearinghouse (NSC), Parchment, NJ-Transfer, Common-App and sometimes directly from institutions. Each college, university, and high school have their own transcript format and standards. It was a very time-consuming process to read the data from various types of transcript formats and enter into NJIT’s Student Information Systems (SIS) such as Slate, Ellucian Banner, and Banner Electronic Document Management System (BDMS).
To add to the complexity, transferring every subject, course, credit, and grade from transcripts required data analysis between transcripts, setup, and the types of students (applicants, future applicants, readmit students, transfer students, and continuing students) who wish to study at NJIT.
Business Value Delivered:
Rapid implementation for quick ROI
- Pilot Go live within 2 months for 19 colleges
- Next 1,600+ colleges in 1 month
- 4,000+ high schools in another 2 months
Each transcript gets processed in under two (2) minutes using AI/ML RPA and OCR technologies.
AI/ML inputs from the users; Quick decision making through a user-friendly portal to view the digital structured output of the transcript, various reports & dashboards
References: NJIT Presentation at CoHEsion on DigiScript implementation
DigiScript Solution implemented at NJIT:
KTech implemented its DigiScript – an automated cloud-based solution built using Artificial Intelligence/Machine Learning (AI/ML), Optical Character Recognition (OCR), and Robotic Process Automation (RPA) technologies.
DigiScript Capabilities
Hosted on KTech’s Digital Cloud (SOC-2 & SOC-3 compliant), DigiScript provides end-to-end automation. It downloads transcripts directly from NSC, Parchment, and NJ Transfer websites, OCRs the student/grade/course data, structures and maps the data, and enters it into SIS system including upload of the original transcript without lifting a finger. Each transcript gets processed in under 2 minutes. Transcripts went through extensive AI/ML OCR training with 100s of samples to ensure 100% data accuracy.
Strict student search criteria were used to ensure FERPA compliance and accuracy of the data. The AI/ML accuracy model gets improved over time as the system learns from the transcript’s good & verified data by the BOTs and kick-outs (data for manual verification), keeping 100% accuracy in mind.
The solution is implemented over the cloud without making any modifications to NJIT’s SIS system. The cloud-based solution comes with a user-friendly portal to view the digital structured output of the transcript, various reports & dashboards, and a system to resolve all the configurational errors for the NJIT staff.
