![]() Definitions may differ depending on context or team. Business Glossary Challengesįor a business glossary, it’s important to assign ownership. Automation helps IT build and preserve the integrity of the data dictionary. To keep pace, IT or database administrators may automate data dictionary maintenance. This makes it difficult to keep up with all the new data elements that need to be defined. Data Dictionary Challengesįor a data dictionary, the volume of new data is constantly increasing. But there are indeed inherent challenges. On the surface, both sound easy and straightforward to develop. Now the question becomes, how to create them? We’ve established the value of both a data dictionary and business glossary. I also broke this down in an outline below: What are the Challenges of a Data Dictionary and Business Glossary? ![]() A good example of a business glossary is by “Active Days” (the number of days which a visit to the app is recorded). While a business glossary is applied by data governance and requirement analysis.Ī good example of a data dictionary is “USER_ID” (unique 7-digit identifying number of a user). The goal of a data dictionary is to understand data assets and databases while a business glossary’s goal is to define common vocabulary and understand basic concepts.Ī data dictionary is owned by IT while business glossaries are owned by the business.Ī data dictionary scope is one per data source, while a business glossary’s scope is one per organization.Ī data dictionary is applied through data modeling, database design, and documentation of data sources. ![]() The key artifact of a data dictionary is a list of datasets/tables and fields/columns while a business glossary provides a list of business terms and their definitions. Below, I’ve listed the main ones:Ī data dictionary focuses on physical data assets while a business glossary focuses on business concepts. ![]() There are many differences between a data dictionary and a business glossary. What are the Differences Between a Data Dictionary and a Business Glossary? This in itself promotes efficiency and productivity for everyone. Users can help themselves without asking around to find an answer. How often have you faced a problem where you think a business term means one thing, but another team believes it means something else? If an executive is presented with two different reports describing the same term, without context on why they differ, how will they react? In all likelihood, they will distrust both reports.Īnother benefit of the business glossary is self-service. When new people join an organization, they can look to the business glossary to learn the business language.Ī business glossary helps an organization agree and align on internal definitions. Who benefits from a business glossary?Ī business glossary is useful for the business audience, or people working in functional departments, such as finance, marketing, or sales. Simply put, having a clear definition and understanding of business terms is extremely useful for any enterprise. The term “beta feature” may be clear internally, but not to the Customer Success team, who communicate with customers. “Customers” and “users” might sound the same, but they are accounted for differently depending on who you ask. ![]() This can become confusing and result in costly mistakes.įor example, to the sales department, the term “revenue” may include gift cards, but not to the finance department. For businesses operating across many departments, regions, and contexts, a single term can have multiple meanings. If you’re thinking “business term definitions” are straightforward, think again. What is a business glossary?Ī business glossary defines and describes business terms and organizational nomenclature. For these tasks, they may look to the data dictionary to ensure use of the right assets. These folks will reference the data dictionary to understand data elements, which allows them to manage, move, merge, and analyze data with clarity.įor complex projects, like data wrangling, modeling, or database design, a data dictionary is a helpful resource. Who benefits from a data dictionary?ĭata dictionaries are designed for more technical audiences, like IT or data scientists. It may include information about the data type, size, default values, constraints, relationships to other data, and the meaning or purpose of a given asset. Data terms could be database schemas, tables, or columns. A data dictionary defines and describes technical data terms. ![]()
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