Data Quality Agent
inden Argano, LLC
Improves data quality by detecting duplicates and enriching records for accurate, trusted data
The Data Quality Agent is an AI-powered solution designed to proactively identify, resolve, and enrich master data across customers, contacts, vendors, and products. Operating within Dataverse and integrated via Microsoft Fabric, the agent uses LLM and machine learning–based fuzzy matching to detect duplicates and inconsistencies across fragmented and imperfect datasets.
Beyond duplicate detection, the agent recommends record merges, data enrichment, and corrective actions for data stewards, transforming traditionally manual and reactive data management processes into an intelligent, continuous workflow. It incorporates human-in-the-loop feedback, learning from steward decisions over time to improve accuracy and reduce false positives.
Unlike static, rule-based duplicate detection in D365, this agent introduces adaptive, learning-based intelligence from day one—enabling organizations to maintain high-quality, trusted data at scale. The result is a unified, accurate data foundation that enhances operational efficiency and ensures downstream analytics and AI initiatives are built on reliable information.
Type of User That Benefits
- Data Stewards / Master Data Management (MDM) Teams
- Finance (AP/AR) and Sales Operations Teams
- Customer Service & CRM Administrators
- Data & Analytics / IT Leaders responsible for governance
Business Impact
Create a trusted, unified data foundation by continuously identifying and resolving duplicate and inconsistent records across customers, vendors, products, and contacts.
Reduce manual data management effort and free teams for higher-value work by automating duplicate detection, record cleanup, and enrichment recommendations.
Improve operational execution and customer experience by preventing duplicate outreach, incorrect shipments, and inconsistent customer and vendor interactions.
Increase confidence in reporting, analytics, and decision-making with accurate, unified records that teams can trust across the business.
Move beyond static rules to adaptive learning-based data quality management with intelligence that improves over time.
Build an AI-ready data foundation for scalable advanced analytics and automation by establishing clean, enriched, and trusted data across the enterprise.