Metadata Management

Understand and control enterprise metadata to achieve a complete and accurate picture of the structure and content of your organization’s data

Metadata management technology allows companies to understand, collect, catalog and manipulate the descriptive metadata associated with the data in their organization. Understanding and controlling metadata is an essential component of master data management (MDM) and data governance initiatives. A comprehensive metadata management program will give organizations a complete and accurate picture of the structure and content of their data.

DataFlux offers an industry-leading approach to metadata management through an intuitive interface that enables users to:

• Discover metadata through lexical, semantic and statistical matching
• Understand and consolidate metadata from multiple data warehouses
• Standardize and validate metadata across the enterprise
• Build a metadata repository for advanced metadata management
• Use metadata to enable master records and MDM

Benefits of Metadata Management

Data profiling uncovers the structure, completeness and suitability of data within your organization's data resources. By discovering relationships within and between your data tables, you can form a complete picture of the actual content of your data, simplifying projects and enabling more comprehensive results, all while providing a faster time-to-value from your efforts.

DataFlux offers an innovative approach to metadata management, giving users the ability to:

• Assess your organization's data, examining the structure, completeness, suitability and relationships of your information assets
• Analyze metadata to discover existing but hidden information in your data resources
• Build accurate, consistent information that you can share with buyers, sellers and distributors

Profile and Discover Metadata

Data profiling and discovery are key components of the DataFlux Data Management Platform, allowing business users to develop business rules to identify and correct issues and then extend these rules across the enterprise.

DataFlux technology enables automated data profiling and discovery for metadata management though:

• Metadata analysis – Gain a clear view of the information contained in your enterprise data resources, accurately grouping related data and excluding irrelevant data
• Outlier detection – Detect data that falls outside normal limits, identify incorrect attributes and drill down to the data to make a more in-depth determination about the data
• Data validation – Verify that the data in your tables matches its description, catalog metadata across an organization and validate that your data follows standardized patterns