AI-Powered Anomaly Detection
Introduced unsupervised ML models that automatically flag data irregularities in real-time streams. Clients can now set custom sensitivity thresholds and receive instant Slack/Teams alerts.
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Introduced unsupervised ML models that automatically flag data irregularities in real-time streams. Clients can now set custom sensitivity thresholds and receive instant Slack/Teams alerts.
Reduced initial load time for complex dashboards by 42% through virtualized DOM rendering and optimized query batching. Large datasets now render smoothly on mobile devices.
Implemented granular role-based access controls for dataset-level permissions. Audit logs now retain event history for 18 months (compliant with SOC2 & ISO 27001). Added SSO enforcement toggle.
Resolved timezone offset miscalculations in scheduled report generation. Fixed CSV export truncation issue when handling >500k rows. Patched memory leak in continuous pipeline watchers.
Launched multi-region replication for enterprise clients. Data now syncs automatically across US, EU, and APAC nodes with sub-second latency. Includes automatic failover routing.
Upgraded the drag-and-drop metric editor with support for advanced SQL transformations, cohort filtering, and saved template libraries. Added dark mode to the query builder.