Opensee wins Best Data Quality Analysis Tool for second year in a row

Following last year’s win in Europe, Opensee has been named “Best Data Quality Analysis Tool by Data Management Insight Awards - this time in the USA. In a volatile and fast-moving world of financial data management, where every decision counts and compliance is non-negotiable, trusted, actionable data is everything. Opensee’s end-to-end, AI-powered platform sets a new benchmark for data quality management by managing the entire data lifecycle — from raw data preparation to certified outputs — so financial institutions can achieve accuracy, completeness and reliability across systems.

Why Opensee stood out:

AI-driven anomaly detection

At the core of Opensee’s data quality capabilities is an advanced AI framework. Using machine learning and robust statistical techniques, the platform proactively detects anomalies and outliers in real time to safeguard data quality and accuracy — essential for precise risk assessment and regulatory compliance. By learning from historical patterns, it surfaces critical deviations for rapid investigation. Once anomalies are identified, users can apply guided adjustments and AI-driven estimations to recommend “correct” values, enabling seamless extrapolation and preserving dataset integrity.

Continuous consistency monitoring

Opensee delivers ongoing, automated checks to ensure data remains consistent across systems. Low/no‑code data quality controls and our Smart Driller automatically pinpoint key drivers behind PnL, capital charges and portfolio performance, providing a unified, traceable view. Typical examples include identifying missing risk factors or resolving discrepancies between NPV and risk metrics. Teams can embed business rules — such as the relationship between risk and PnL — to support faster, better-informed decisions.

Standardization and certification
Our end-to-end smart certification process streamlines standardization and validation, detecting and resolving inconsistencies, errors and duplicates in real time to dramatically cut the effort of data cleansing. Risk teams gain immediate access to granular market risk metrics and deep history, enabling consistent certification processes across teams. Configurable data quality indicators and dashboards — aligned to BCBS 239 principles — provide instant visualizations of compliance and data completeness, supporting a coherent, enterprise-wide reporting framework.

Full auditability and trust
Opensee’s audit trail provides complete transparency and traceability. A Git-like versioning system automatically records every change — from minor adjustments to complex simulations — so users can compare versions, revert when needed and maintain multiple dataset variants for backtesting and scenario planning. This meticulous version control preserves a single “official” source of truth while giving teams the flexibility they need to iterate with confidence.

This back-to-back recognition underscores Opensee’s unique ability to manage the full data lifecycle while delivering the accuracy, completeness and reliability that financial institutions demand. By combining real-time anomaly detection, continuous consistency monitoring, standardized certification and end-to-end auditability, Opensee equips risk, finance and data teams to maintain trusted, compliant and decision-ready data — at scale.

See why leading institutions choose Opensee to power their data quality. Get in touch to learn more or request a demo.