For a PETRONAS-owned university with 37,000 alumni and a mandate to demonstrate institutional impact, this isn't a data gap — it's a blind spot.
In alumni engagement, the 3Ts describe what graduates give back: their Time, Talent, and Treasure. But the 3Ts work just as well turned inward — as a diagnostic lens on UTP's own institutional capacity.
Time, Talent, and Treasure describe what UTP needs to invest. But they don't address what alumni get in return. There is no value exchange.
Alumni data is a byproduct of alumni engagement, not the other way around. Build the engagement value first, and data collection becomes natural.
Build a system that takes alumni names and institutional context and continuously discovers, assembles, and maintains professional profiles using publicly available sources.
This is not an analytics platform. It is not a dashboard. It is a discovery engine — it finds people, assembles what it learns, and keeps looking.
The system discovers information from public sources rather than requiring alumni to self-report.
Each crawl cycle adds to what is already known. A profile gets richer as new information surfaces.
Every field carries a confidence score. High-confidence partial profiles are more useful than low-confidence complete ones.
UTP knows things about each alumnus that public search does not. Every piece becomes a disambiguation signal.
This covers the full MVP build: discovery engine, extraction pipeline, profile store, operator interface, and export capabilities.
Enter a name and whatever context you have. The system searches publicly available sources and assembles what it finds into a profile.
Demo Mode: This uses pre-populated example profiles to show how the system works.