Semarchy Convergence for MDM 2.0 sets new Security Features and Enriches Access for Enterprise-scale, Cloud-ready Data Governance
Menlo Park, Calif. – October 16, 2012 – Semarchy, the Data Convergence Company announced today the availability of Semarchy Convergence for MDM 2.0 for organizations looking to drive better value from their consolidated master data. Convergence for MDM 2.0 extends the company’s leading “Evolutionary MDM” offering with new advanced security features, richer experience and enterprise-scale deployment.
“Data Governance initiatives mandate powerful features for users to access and interact with master data in an efficient and highly secured way,” said Salah Kamel, CEO, Semarchy. “To achieve this, the MDM platform must provide a rich user experience and a highly pervasive security”.
With Semarchy Convergence for MDM 2.0, organizations are able to:
- Enforce security at attribute-level and contextually at row (record) level;
- Define fine-grained policies to maintain any compliance rule for data access and manipulation in the MDM hub;
- Customize user forms and tables by combining rich content and database records within the same generated (zero-code) user interface;
- Automatically generate complete documentation sets for master data models, data governance rules and policies;
- Experience an enterprise-scale and cloud-ready infrastructure supporting extreme scalability with load balancing, high-availability and failover recovery;
- Seamlessly integrate applications with their MDM hub with the new Web Service or Java client API.
“This release is a major milestone for Semarchy, with a strong focus on business-users and data stewards”, added Salah Kamel. “It is a fantastic vehicle to speed up our clients’ journey on the Evolutionary MDM highway”.
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Semarchy (www.semarchy.com) enables organizations to consolidate and enrich master data across all their business domains. Semarchy Convergence for MDM is the only Evolutionary MDM platform specifically designed to reduce Master Data Management (MDM) project timescales and costs, for simple as well as complex master data projects.