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Enhancing Financial Data Quality The JMMB Journey
Webinar|25th February 2025| 11 AM EST
Webinar
25th February 2025
11 AM EST
Register NowProactive Drift and Behavior Analysis for Reliable Data
Automatically detect anomalies, track key metrics, and adapt to data changes with ML-driven insights.
Out-of-the-Box Adaptive Rules
Eliminate the need for manual rule-setting. DQLabs’ ML-driven adaptive thresholds learn and adjust automatically, enabling precise benchmarking and monitoring for attributes across your organization.
Asset and Attribute Level Data Monitoring
Auto-track key metadata metrics, including row counts, freshness, schema, and duplicates. Gain deep insights with column-level profiling to ensure data is fit for purpose.
Customizable Behavioral Analysis
Detect anomalies using ML-based time-series analysis across categorical and numeric data attributes. Forecast trends, manage seasonality, and uncover deviations for smarter decision-making.