Data Quality is one of the most important aspects of any master data project. Master Data Center includes all of the functionality of Data Quality Center to enable a smooth implementation of the data mastering on a cleaned and de-duplicated data.
MDC runtime is designed for high performance, large master repositories and huge volumes of data coming from the source systems. MDC projects typically process tens to hundreds of millions of records or provide sub-second SLAs on online identification and unification services.
Master Data Center includes MDC Portal, a web application used by business people, Data Managers and Data Stewards. MDC Portal supports the full Data Governance workflow, allowing users to view & edit master data, process changes that need manual interaction, view reports and more.
MDC includes a number of types of connections, including Database I/O (JDBC), Text files (CSV, Fixed width), and XML and Excel files. iWay Software Connectors are also supported giving you almost unlimited flexibility in accessing the data in the most exotic systems.
MDC contains a best of breed unification engine that allows Match & Merge processing that typically cannot be achieved with other tools. Matching is defined explicitly by a set of parameters, and MDC stores information about which business rule was used for matching as well as the reason for matching (expressed in business terms) with each record.
MDC also includes a unique hierarchical unification, which addresses problems with missing matching key, where a secondary matching key is used and splitting into groups can be controlled based on uniqueness of the matching. Matching via candidate groups is one of the most performing solutions on the market today.
MDC supports both co-existence and analytical styles of Master Data Management.
Master Data Center supports 4 levels of data mastering as needed in a specific customer environment:
- Level 1, where a clean, unified list of unique entities (e.g. customers) is created
- Level 2, where periodic updates of data in source systems can be processed and master data updated
- Level 3, where edits and updates of the master data records are allowed, allowing them to survive further updates from the sourcre systems
- Level 4, where edits to the master records are propagated back to the source systems
MDC contains over a 100 algorithms, ranging from simple-to-use algorithms optimized for a specific operation (e.g. validation of credit card numbers), general task-specific ones (e.g. Generic Parser or Profiling), to complex powerful algorithms (Unification, Address Identifier). For a detailed reference on the algorithms included, see the MDC Algorithms reference included in the MDC installation.
MDC includes a very powerful business rule engine based on a high-performance expression evaluator. This gives you complete freedom where most Algorithms can be fine-tuned using custom functions and expressions, removing limitations of typical hard-coded functionality.
There are moments where you encounter environments or problems so uncommon that the built-in set of algorithms and functions is not able to address them. DQC is designed to be extensible - new algorithms or functions can be written in Java and added to the DQC engine.
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