ARTIFICIAL INTELLIGENCE SOFTWARE
TAILORED FOR OPERATIONS CONTROL IN REFERENCE DATA MANAGEMENT

DATA ANOMALY DETECTION
& PREDICTIVE ANALYTICS

EZOPS’ models detect data quality issues in real-time to help isolate data gaps for quick remediation

  • Identifies data anomalies related to client and customer (KYC, LEI, client categorization and hierarchy, securities master, sales or trader information, external industry reference data, external pricing sources, SSI)

intelligent process
automation

Smart workflows helps coordinate the cleanup of data gaps across systems

  • Anomaly detector creates alerts, notifications, emails, or mesages for downstream systems to perform pre-validation checks
  • Provides transparency in reference data changes for audit and compliance
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RECONCILIATIONS

Post anomaly detection, assess impact of data gaps across downstream systems and reconcile for completeness

  • Enables reconciliations between golden copy of reference data and data used by downstream consumers and systems
  • Aligns data across silos to enhance data quality and control
  • Allows business users to create reconciliation rules without IT involvement
  • Maintains reconciliations records for audio and compliance including a copy of source data and reference used for reconciliation

REPORTS & DASHBOARDS

Create and view reports that drill down into the minutiae of data quality issues

  • Holistically view potential impact of a single anomalous reference data element across all systems
  • Drill down into root causes to isolate issues and improve data quality
  • Create custom reports and dashboards Download via excel, PDF or email results
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EZOPS’ ANOMALY DETECTOR CAN QUICKLY PINPOINT
ISSUES TO HELP YOU REGAIN CONTROL OF REFERENCE DATA

TECHNICAL HIGHLIGHTS

Compatible with multiple data sources and formats

Deployable on prem or cloud

Send and receive automated messages, alerts and notifications via APIs and files

Facilitates single sign-on across the enterprise

Smart ETL/data mapping and ingestion for rapid integration

Micro services architecture

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