Build a business glossary and map it to the data dictionary of your entire data ecosystem in shared metadata repository. Build trust in data by linking definitions to their actual technical representation.
When exploring your data dictionary, users can instantly see standardized business definitions for each entity. Bring business context into technical metadata and bridge the gap between data and meaning.
Databases can be huge and complex with thousands of tables and many more fields. With a business glossary-data dictionary links it is easy to find all occurrences of key data in all your databases - like "Customer" or "Revenue".
It is easier for technical people to create a technical data dictionary. They can focus on application specific attributes and simply link existing business definitions from the glossary created by the business users.
Standardize KPIs, metrics, and terminology across departments. Eliminate confusion, reduce reporting errors, and ensure compliance with internal and regulatory standards.
Engage both business and technical teams in a shared platform where terms can be discussed, reviewed, and approved. Build a living, governed glossary that evolves with your organization.
Business glossary is a go to reference place where everyone in your organization can go for the answers on how to read, understand and find the data.
Established universal definitions of key concepts accelerate articulation of requirements for new reports and analytics, the design of the solution and later understanding of the presented numbers.
Allow everyone in the organization to speak the same language, break down silos and build collaboration, including on the line between business and IT.
With a business glossary mapped to data dictionary your business can be more self-reliant and from navigate from business-oriented vocabulary to the physical data, otherwise accessible only to the tech-geeks who know the complicated structure of the databases.
Document business terms, KPIs, policies, and rules to create a single source of truth for how your organization defines and measures data.
Organize glossary entries into logical hierarchies and define parent-child or associative relationships between related terms.
Terms, policies and rules can be mapped to data dictionary elements (tables and columns).
Extend your glossary with custom metadata fields. Capture ownership, classification, domain, or any organization-specific context.
Track how definitions evolve over time and who made changes, ensuring accountability and transparency.
Enable business and data stewards to propose, review, and approve glossary changes collaboratively, ensuring quality and consistency.
The business glossary is a foundational asset for any data governance initiative, ensuring consistent definitions and policies across the organization.
Define measures, KPIs, facts, and dimensions in your analytics ecosystem, improving reporting accuracy and enabling self-service insights.
Define and share key entities of your enterprise data model and map it to physical data model.
Add a layer of your organization’s vocabulary to the inadequate, confusing and generic naming in databases of packaged applications.
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