Introduction to Semarchy Convergence for MDM | ||
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Preface | Introduction to the Semarchy Workbench |
Semarchy Convergence for MDM is designed to support any kind of Enterprise Master Data Management initiative. It brings an extreme flexibility for defining and implementing master data models and releasing them to production. The platform can be used as the target deployment point for all master data of your enterprise or in conjunction with existing data hubs to contribute to data transparency and quality with federated governance processes. Its powerful and intuitive environment covers all use cases for setting up a successful master data governance strategy.
Semarchy Convergence for MDM is based on a coherent set of features for all Master Data Management projects.
Data architects, business analysts, data stewards and business users all share the same point of entry in Semarchy Convergence for MDM through the single “Semarchy Workbench” user interface accessible through any type of browser. This interface uses rich perspectives to suit every user role and allows team collaboration. The advanced metadata management capabilities enhance the usability of this intuitive interface.
Semarchy Convergence for MDM includes a unique modeling framework that combines both ER and OO modeling with concepts such as inheritance or complex types. Data architects and business analysts use this environment to define semantically complete models that will serve as references for the enterprise. These models include the description of the business entities as well as the rules associated with them.
The Modeling Framework supports:
The innovative Semarchy technology supports an infinite number of versions and branches of data and metadata. The collaborative process between the different governance teams set the rules to close the editions of metadata and data to keep full traceability or to run multiple projects in parallel.
During the modeling phase, the data architect and business analysts create their metadata definition until the first semantically data model is finished. This model is then “frozen” in an edition and eventually delivered to production. Subsequent iterations of the data model are automatically “opened”. This allows Semarchy Convergence for MDM users to replay the entire cycle of metadata definition. At any time, project managers may choose to branch the developments in order to develop two versions of the model in parallel.
Master Data in a Semarchy Convergence for MDM hub can also be managed with versions. Business processes specific to the enterprise set the rate at which data must be “frozen” in these versions. A consumer can access data in particular edition of the data and can see the data as it was at a particular moment in time. As a consequence, the company can develop a strategy for managing versions of data, for example during the introduction of new major versions of a model, for simulation projects and what-if analysis, or when launching new catalogs.
Semarchy Convergence for MDM supports the integration of data from any source in batch mode, asynchronous or synchronous mode. The platform manages the lifecycle of data published in the hub. This data is “pushed” by “publishers” through existing middleware (ETL, SOA, EAI, Data Integration, etc.). The platform provides standards APIs such as SQL for ETLS, Java and Web Services integration for real-time publishing. The certification process follows a sequence of steps to produce and make available certified reference data (Golden Records). These steps apply all the logical integration rules defined in the modeling phase to certify at all times the integrity, quality and uniqueness of the reference data.
With its “Open Plug-in Architecture” Semarchy Convergence for MDM can delegate stages of the certification process to any component present in the information system infrastructure.
Semarchy Convergence for MDM support Master Data Applications generation. These applications provide secured and filtered access to the golden and master data of the hub in business-friendly views in a Web 2.0 interface. Applications also support customized Human Workflows for duplicate management and data entry.
The certified data is stored in a relational database, which allows Semarchy Convergence for MDM to benefit from higher performance and scalability. The data is made available to consumers across multiple channels to allow a non-intrusive integration with the information system:
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Preface | Introduction to the Semarchy Workbench |