An understanding of business glossary best practices – such as what goes into a business glossary and what should not – is a vital factor in business glossary management.
The effectiveness of an organization’s business glossary and business glossary management is directly related to the information used in its construction. Like most other processes that rely on data collection, the output of the finished product is inextricably tied to its input.
The acronym GIGO, which stands for garbage in, garbage out, aptly sums up the importance of constructing a business glossary with valid information and terms that describe enterprise data assets.
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A business glossary is a collection of business terms and definitions that is used to facilitate an organization’s data governance program. It’s used by all technical and non-technical employees to provide consistency in the vocabulary used around enterprise data resources.
Many of the items that may at first seem appropriate for a business glossary are better suited for other uses, perhaps in a data dictionary.
The following business glossary best practices are crucial for effective business glossary management and should be included when creating a business glossary:
Business glossary best practices also encompass what should not be done. Organizations should avoid these common mistakes in order to create an effective business glossary:
ER/Studio Enterprise Team Edition is a data modeling application that can be used to create and manage business glossaries. It’s a collaborative tool that helps organizations develop and manage business glossaries by importing business terms from data models.
ER/Studio has been integrated with the Collibra data intelligence cloud to provide an effective method of automating business glossary management. The tools work together, allowing users to synchronize the business glossaries between the two toolsets.
The integration also allows for logical and physical data models of data assets – mapped to business terms – to be published to the Collibra Catalog. Thanks to the integration, organizations can vastly improve their enterprise’s democratization of data.
The features offered by the integration of these tools enable organizations to:
Creating a business glossary is essential for data-driven companies looking to maximize the value of enterprise data resources. The powerful features of ER/Studio and Collibra simplify this process and furnish a path for maintaining the glossary as a living document.
You can learn more about the ER/Studio Collibra integration in this solution brief.
See how ER/Studio makes it easy to define, manage, and align glossary terms across your organization. Schedule your demo now.
A business glossary defines business terms for all users, focusing on meaning and consistency. A data dictionary describes technical metadata like data types and schema structures. Think of the glossary as the “what” and the dictionary as the “how.”
No. Best practice is to maintain a single business glossary. Creating multiple glossaries causes confusion, dilutes consistency, and makes governance harder to manage.
A business glossary should be treated as a living resource. Regular updates ensure that it reflects new terms, evolving definitions, and changing business needs. Establishing review workflows helps maintain quality and relevance.
ER/Studio extracts business terms directly from logical data models, helping teams build accurate glossaries faster. It also enables collaborative editing and integrates with Collibra for real-time synchronization and approval workflows.
Avoid creating multiple glossaries, including project-specific or overly technical terms, and letting the glossary become outdated. The glossary should remain clear, company-wide, and continuously maintained.
