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Diagram showing agents within the Data Management Assistant.
MIGRATION AND MODERNIZATION

Data Management Assistant

Automate data quality monitoring and correction to help ensure reduced-risk system transitions and ongoing operational excellence.

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Overview

The Data Management Assistant coordinates specialized AI agents to analyze data quality, relevancy, retention, prioritization, validation, and remediation activities. It guides and automates data management decisions and actions across the transformation lifecycle, delivering continuous insights, governance, and scalable execution.

Tasks this assistant can help with:
Example use cases for this assistant:

Benefits

Verify corrections before deployment
Reduce the risk of errors by validating corrections in sandbox environments before production deployment.

Maintain continuous governance
Maintain data quality and proactively detect trends, regressions, and emerging issues through ongoing monitoring.

Make actionable decisions
Enable teams to prioritize crucial issues by turning raw findings into recommendations with expected outcomes.

Agents used by this assistant

Use the Data Management Assistant to coordinate specialized AI agents, including Joule Agents that apply SAP’s process expertise or custom agents you create.

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Transition Data Quality Scope Agent

Selects relevant data quality KPIs to evaluate data completeness, consistency, and anomalies.

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Transition Data Quality Evaluation Agent

Analyzes execution results to detect trends and severity, turning findings into actionable insights.

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Transition Data Quality Prioritization Agent

Ranks corrections based on business impact, quick wins, effort, and dependencies.

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Transition Data Quality Validation Agent

Verifies proposed fixes are correct, feasible, and compliant before production deployment.

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Transition Data Quality Automated Resolution Agent

Executes approved corrections automatically to reduce manual effort and speed recovery.

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Transition Relevancy and Retention Agent

Highlights KPIs that help clarify which data to keep, migrate, or exclude, optimizing storage and governance.

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Data Management Orchestration Agent

Orchestrates data management agents and serves as the primary interface for customer requests.

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