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Reference Data Manager

Manage critical reference data from a single platform to build and organize hierarchies across data elements

To keep your organization functioning efficiently, it’s important that your business and IT teams are on the same page when it comes to storing and managing data. DataFlux Reference Data Manager delivers this capability – it can be used across departments and lines of business to store and maintain different types of information hierarchies.

Reference data, which typically defines the characteristics of an identifier used within other data-centric processes, can come in the form of:

  • A list of valid postal codes with their associated city and region/state
  • A list of NASDAQ stock symbols with their company names
  • A material taxonomy such as UNSPSC or eCl@ss
  • A list of acceptable responses to a survey question

DataFlux Reference Data Manager gives you a centrally managed, web-based interface that can be used to manage your critical data. It uses terms created in your DataFlux Business Data Network to link relationships across data elements.

A centralized way to document, share and manage data hierarchies

Reference Data Manager enables the centralized management of reference data so you can:
  • Maintain reference data entities consistently across the organization, with definitions and relationships clearly defined for each entity and the entity values
  • Identify, profile and validate reference data from any source system
  • Create reference data required for effective master data management efforts
 

Benefits

Facilitate effective data management projects

  • Identify, profile and validate reference data from any source system
  • Integrate accurate and reliable reference data
  • Streamline MDM projects through reliable, actionable reference data
Deliver better reference data to drive more responsive business processes
  • Maintain and manage history and data change management in a single interface
  • Create business rules across processes and manage existing business rules
  • Support enhanced analysis and decision-making
Build the foundation for data stewardship and data governance
  • Integrate business terms and glossaries defined in DataFlux Business Data Network
  • Give data stewards and data governance boards more control of a single framework for reference data
  • Create enterprisewide standards for data quality at the attribute level
 



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