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Semarchy

Semarchy provides a master data management platform.

Our Products

Semarchy Data Platform

Product Overview

The Semarchy Data Platform is an AI-driven master data management (MDM) and governance platform designed for DataOps to centralize customer, product, and reference data into trusted "golden records." The software features low-code integration pipelines, automated data quality cleansing, and an AI-powered data catalog to track data lineage and governance policies. It also utilizes generative AI assistants to automate complex engineering workflows, helping organizations package and distribute reusable data products across the enterprise.

Market Landscapes

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Where it's used

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Capabilities

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Research Competitors

Syniti Knowledge Platform Capgemini

Syniti Knowledge Platform is an all-in-one, cloud-based data management platform designed to centralize and streamline data migration, quality, and governance initiatives. The software utilizes integrated AI and proprietary algorithms to automate master data management, metadata scanning, precise data matching, and real-time data replication. It also features a knowledge-capture repository that stores developed rules and policies for reuse, helping organizations accelerate digital transformations like moving to the cloud or transitioning to SAP.

Civica MDM Civica

Civica Master Data Management is a cloud-enabled data management solution designed to match, clean, and enrich fragmented data records into a single, trusted "Golden Record." Tailored extensively for public sector, healthcare, and local government agencies, the software utilizes sophisticated matching algorithms to eliminate duplicates and break down departmental silos. It features seamless integration with enterprise tools like CRMs to synchronize accurate information in real time, helping organizations improve decision-making and enhance citizen or patient services.

Boomi Data Hub Boomi

Boomi DataHub is a cloud-native master data management platform that centralizes, synchronizes, and governs fragmented data silos into trusted "golden records." The software utilizes a hub-and-spoke architecture and generative AI tools to automate data modeling, data quality validation, and bi-directional synchronization across enterprise systems. It also features centralized stewardship workflows for error remediation and provides robust APIs to feed synchronized data directly into operational systems and AI models.

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