Uncovering the Hidden Logic of Business Data

Description :

The “Uncovering the Hidden Logic of Business Data” project addresses a fundamental challenge in financial institutions: the fragmentation of a single economic event across multiple systems (front office, risk, settlements, accounting, and reporting), which prevents a unified and trustworthy view of financial data. The project proposes a novel, data-driven approach to reconstruct these latent events by leveraging unsupervised and semi-supervised learning techniques to automatically identify, align, and group related data fragments across systems without relying on brittle, manually defined reconciliation rules. By inferring the underlying structure and relationships between records, the approach transforms reconciliation from a static, rule-based process into a dynamic, adaptive, and explainable system, enabling end-to-end consistency, reducing operational overhead, improving regulatory compliance, and enhancing decision-making reliability. This research ultimately aims to establish a global consistency layer within financial platforms, allowing institutions to better understand, trace, and validate the full lifecycle of their business data in a scalable and resilient manner.

Titulaire :
KILANY CHAMOUN Rima

Contact USJ :
rima.kilany@usj.edu.lb

Chercheur(s) :
Mme Rima KILANY CHAMOUN
M. Youssef BAKOUNY (EL)
M. Jean Yves YOUSSEF

Projet présenté au CR, le : 16/03/2026

Projet achevé auprès du CR : 15/03/2029