Business Glossary

Agree on vocabulary before you start talking about the data

If you want to know measure something, you first need to agree on what that is. Ask different people and you’ll probably get different definitions. Define the language of your organization in a business glossary.

Build and share a universal glossary of business terms, policies and rules

Dataedo Business Glossary helps you build and share a universal vocabulary of business terms with their definitions and mapping to the data.

Map business vocabulary to your data

Build a business glossary and map it to the data dictionary of your entire data ecosystem in shared metadata repository.

Add more meaning to your data

When browsing a data dictionary of specific application you can see the universal business definition of the entity related to the element of this field or table.

Find key data in all your databases easily

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.

Simplify description of technical metadata

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.

Get everyone on the same page and get more out of your data and IT initiatives

Build a single source of truth about your data

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.

Help everyone create and read the reports

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.

Better collaboration between departments, including business-IT

Allow everyone in the organization to speak the same language, break down silos and build collaboration, including on the line between business and IT.

Empower your business to use data

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.

Use cases

Data Governance

Business glossary is one of the basic assets in data governance initiative.

BI & Analytics

Define measures, KPIs, facts and dimensions of your analytics.

ERP and Applications

Add a layer of your organization’s vocabulary to the inadequate, confusing and generic naming in databases of packaged applications.

Enterprise Architecture

Define and share key entities of your enterprise data model and map it to physical data model.

Master Data Management

Find master data in different databases.

Data Quality

Improve data quality with repository of rules and policies linked directly to the data dictionary.

Data Protection

Find and document critical data in all your data sources.

Key Features

Central local metadata repository

Capture all metadata in central repository in your environment.

Multiple glossaries

Define multiple glossaries.

Terms, policies & rules

Business glossary holds place for business terms, definitions and rules.

Hierarchy and relationships

Organize business terms and other entries in a hierarchy and define different types of relationships between them.

Links to data elements in data dictionary

Terms, policies and rules can be mapped to data dictionary elements (tables and columns).

Custom attributes

Enrich your glossary with multiple custom metadata fields.

Two-way navigation between glossary and data dictionary

It is easy to allow easy navigation between terms and dictionary elements.

Bottom-up approach from data dictionary

You can define business terms directly from the specific data dictionary elements.

Propagation of classification to data dictionary

Data sensitivity classifications of business terms can be easily propagated to data dictionary.

Resources

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