DataFlux Data Management Studio: Metadata Analysis
Metadata analysis uncovers existing trends and characteristics of your data, examining corporate data throughout your enterprise. Metadata analysis provides a clear picture of the types of information and the sources of that information. This understanding is an essential first step to data quality, data integration, master data management (MDM) or any other enterprise data management initiative.
Enhanced metadata analysis, along with data discovery, provides extended metadata capture. Metadata categorization drives source/target mappings and data quality lifecycle management. DataFlux technology allows you to examine data objects and infer missing metadata based on analysis of the data content and structure.
DataFlux Data Management Studio provides the ability to discover and manage metadata from any data resource – anywhere in the organization – from a single interface. All DataFlux technology, including DataFlux qMDM, uses a shared metadata repository.
Data Management Studio enables metadata discovery by allowing you to:
- Organize your data logically across all data sources
- Simplify projects by accurately grouping related data and excluding irrelevant data
- Gain insight into the data that should be included in a data management project
DataFlux metadata analysis provides detailed exploration of data derived from numerous sources, systems and platforms, so you can:
- Collect, catalog and organize metadata
- Connect to disparate enterprise data sources, including RDBMS, XML files, spreadsheets and text files
- Extract metadata, such as field name, data type and length
- Utilize advanced matching algorithms to identify relationships and potential redundancies and compare field names, types, and formats
- Manage redundancies by reporting and cataloging redundancies within a metadata repository
- Refine data consolidation and master data management (MDM) initiatives by specifying which data should become part of a master repository
Metadata Enablement
Data Management Studio allows you to discover various types of data – including customer, patient, citizen, employee, product, asset and location. After this discovery, the identified types of data can be grouped within data profiling, data quality or data integration initiatives. With Data Management Studio, you can build catalogs of similar data types and speed the process of building master data repositories.
Data Management Studio provides a single user interface for all required enterprise data. Take direct action with the insight gained through metadata discovery and implement effective data quality and data management initiatives that drive your organization.