List of Semarchy MDM Customers
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Since 2010, our global team of researchers has been studying Semarchy MDM customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Semarchy MDM for Master Data Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Semarchy MDM for Master Data Management include: Vinci, a France based Manufacturing organisation with 282241 employees and revenues of $83.88 billion, NextEra Energy, a United States based Utilities organisation with 16800 employees and revenues of $24.75 billion and many others.
Contact us if you need a completed and verified list of companies using Semarchy MDM, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Semarchy MDM customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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NextEra Energy | Utilities | 16800 | $24.8B | United States | Semarchy | Semarchy MDM | Master Data Management | 2018 | n/a |
In 2018, NextEra Energy implemented Semarchy MDM to establish a canonical master data layer and address enterprise Master Data Management requirements. The Semarchy MDM deployment was positioned to support IT and asset management functions, and to align with concurrent analytics and IoT data initiatives underway across the company.
The implementation configured core Semarchy capabilities typical for Master Data Management, including model-driven entity design, match and merge logic, survivorship rules, data quality validation, stewardship consoles, and REST API services for distribution. Ingestion patterns were designed for both batch and event-oriented workflows, with configuration for reference data management, master domain modeling, data governance workflows, and stewardship task orchestration to support ongoing data quality and operational ownership.
Architecturally, the Semarchy MDM rollout was aligned with NextEra’s cloud engineering practices and the cloud-native analytics environment the cloud team built on AWS, enabling canonical master records to be consumed by downstream analytics and BI consumers while preserving operational separation. Security and operational governance for the MDM environment were designed to align with established controls such as identity and access policies, network isolation, encryption at rest, automated infrastructure provisioning practices, and observability for data pipelines, ensuring consistency with existing compliance and operational processes.
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Vinci | Manufacturing | 282241 | $83.9B | France | Semarchy | Semarchy MDM | Master Data Management | 2020 | n/a |
In 2020, VINCI implemented Semarchy MDM to centralize master data handling and to formalize MDM practices across its data architecture teams. Semarchy MDM was configured to support Master Data Management tasks including master data modeling, relational schema design, and data qualification workflows.
The implementation encompassed configuration of data modeling, data quality rules, stewardship workflows, and ETL orchestration to support high volume data feeds. Semarchy MDM served as the central application for master record definitions, attribute harmonization, and the creation of reusable master data models.
Integrations were built with existing data tooling, including Talend DI and Talend MDM components, and analytic interfaces with Azure Synapse were created to feed decision platforms. Design and implementation included ETL flows and API layers using SOAP and REST, as well as log management practices using ELK and KIBANA to support operational monitoring.
Governance work focused on formalizing data collection protocols, organizing data to be easily exploitable by BI and analytics teams, and designing an optimal data infrastructure for high volume and growth. The deployment primarily impacted data architecture, data engineering, database administration, and decision-making platform administration, with ongoing stewardship and maintenance processes defined within Semarchy MDM.
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