Discrepo

Discrepo is a neologism used in data management and information systems to denote the process or system for identifying and reconciling differences among datasets, documents, or streams. The term derives from the Latin discrepo, meaning to differ or disagree, and has been used in technical literature to name both a concept and a software component.

Discrepo applications appear in data governance, master data management, data integration, and distributed systems, where multiple sources may converge and diverge. The goal is to detect, classify, and resolve inconsistencies to maintain data integrity and trust in analytics.

Technical approaches include comparing records using key-based or hash-based methods, mapping heterogeneous schemas, resolving entity identity, and automating or routing discrepancies to reconciliation workflows. Discrepo systems typically produce audit logs, discrepancy reports, and dashboards that support decision-makers.

Depending on context, discrepo may refer to a methodological framework, a software library, or a service within data fabrics and data mesh architectures. As a practice, discrepo emphasizes traceability, transparency, and repeatability in data reconciliation, recording both the origin of differences and the chosen resolution.

Related concepts include data reconciliation, data quality metrics, data governance processes, and data lineage.