Unified Control Over Entire Data Integration Environment

Ascential MetaStageT, an enterprise metadata directory, provides business users and IT professionals with analysis, reporting and management capabilities for corporate- wide metadata integration. It delivers graphical assessment of the impact of change and stewardship of the business and technical meaning and origin of a corporation's data.

Using a patented approach, a company's investment in business and technical metadata across multiple applications and tools is protected. MetaStage manages the definitions and relationships that are critical to the success of all data integration projects. Customers using Ascential MetaStage can establish common data definitions across business and IT necessary to:

• Drive consistency throughout the data integration lifecycle
• Provide regulatory data audit trail without coding
• Deliver business and IT-oriented reporting
• Enable the business to take ownership of their data
• Provide enterprise visibility for change management
• Easily extend to new, legacy and homegrown metadata sources

  Features and Benefits:

  • Bi-directional Exchange
    Enforces consistency and identifies redundancy across all data projects; Patented high fidelity metadata exchange between the industry's most popular data modeling, data quality, ETL, data profiling and business intelligence tools and standards.
  • Cross-tool Impact Analysis
    Businesses can move faster and be more flexible to changing data requirements; Cross-tool Impact Analysis enables you to assess how changes affect critical down-stream systems, application and reports. Data Lineage mapping ensures you can always answer the question, "Where did this data come from?" .
  • Model-based Extensibility
    Reuse, management and analysis of metadata across broader range of project; lowers the costs and risk associated with custom interfaces to third party applications when expanding the scope of metadata is crucial to the business.
  • Business Vocabulary and Stewardship
    Consistent and agreed upon meaning of data across business and IT that drives Self-sufficiency, Better Decisions and Ownership of the data; enables the creation, management and analysis of standard vocabularies and maintains data stewardship.