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Ensure Data Observability & Quality for SAP

Deliver high-quality, reliable, and AI-ready data in SAP with automated monitoring, anomaly detection, and streamlined issue resolution.

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Data Trust & Reliability for Your SAP Ecosystem

DQLabs empowers you to ensure data quality across ECC, HANA, BW, and SAC, accelerating modernization, strengthening analytics, and ensuring a trusted SAP ecosystem.

AI-Ready
SAP Data

Deliver clean, validated data from ECC, HANA, and BW to power accurate AI models and analytics in SAP Analytics Cloud (SAC). Ensure every initiative runs on consistent, high-quality SAP data.

Resilient
SAP Operations

Continuously monitor ECC and HANA for schema drifts, anomalies, and master data issues to prevent reporting failures and costly disruptions in core SAP processes.

Accelerated
SAP Modernization

De-risk migrations from ECC to S/4HANA and BW to BW/4HANA or Datasphere with automated quality checks that validate and align data before and after migration.

Trusted Reporting
in SAC

Ensure confidence in SAC dashboards by reconciling data across ECC, HANA, and BW, eliminating inconsistencies that erode trust and lead to manual workarounds.

Key Capabilities

Out-of-the-Box Connectivity for ECC & HANA

Migration-Ready Data Quality

Schema Change & Data Drift Detection

Automated Monitoring and Alerts

AI-Driven Rule Automation

Out-of-the-Box Connectivity for ECC & HANA

Connect instantly with SAP HANA and SAP ECC, with out-of-the-box connectivity. Enable end-to-end data quality monitoring across SAP environments.

  • Out-of-the-box, no-code setup for SAP HANA and ECC
  • Profiling and monitoring data immediately without altering SAP processes
  • Enable seamless quality checks across operational (ECC) and analytical (SAC) data

Migration-Ready Data Quality

Ensure clean, consistent data during modernization projects from ECC to S/4HANA, BW to BW/4HANA, or BW to Datasphere. Minimize migration risks and protect reporting accuracy.

  • Validate all data before moving to S/4HANA
  • Detect anomalies and schema issues during SAP BW modernization
  • Safeguard SAP Analytics Cloud dashboards from broken metrics during migration

Schema Change & Data Drift Detection

Monitor fast-evolving ECC and HANA environments to detect drifts and anomalies early, preventing downstream reporting failures in SAC and other analytics.

  • Continuous monitoring of schema changes, volume shifts, and metadata updates
  • Instant anomaly detection in ECC and HANA pipelines
  • Maintain stability in downstream SAP BW/4HANA and Datasphere operations

Automated Monitoring and Alerts

Reduce manual checks with automated quality monitoring for ECC and HANA, ensuring rapid response to issues before they impact operations or analytics.

  • Continuous, intelligent monitoring of ECC and HANA data
  • Instant alerts for anomalies, drifts, and data quality concerns
  • Faster resolution to protect business-critical SAP processes and SAC outputs

AI-Driven Rule Automation

Scale SAP data quality management with AI-powered rule generation and recommendations tailored to ECC, HANA, and SAC use cases.

  • Generate SQL measures and validation rules using natural language prompts with Ask AI functionality
  • Auto-suggest the most relevant quality measures for SAP attributes with Recommend AI
  • Accelerate the enforcement of accuracy, completeness, and compliance across SAP datasets

End-to-End Reliability for Your Modern Data Stack

DQLabs integrates with data warehouses, lakes/lakehouses, orchestration tools, and BI platforms to deliver trusted, reliable data.

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Platform Architecture

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Discover Agentic AI-powered observability, quality, and discovery in one unified platform.

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