What Is a Business Glossary? How Can Crowdsourcing Help?

November 30th, 2020

Business glossary

What is a business glossary?

A business glossary is a collection of unique business terms and definitions that helps understand the data assets' key characteristics. It makes data discoverability easier for businesses because it consists of popular business terms rather than IT keywords. A business glossary is also referred to as a data glossary.

Unlike traditional glossaries, the business users own the responsibility of building and maintaining a business glossary. Since it helps create a common data language across an organization, building a business glossary is a crucial step towards data democratization.

Creating a business glossary is not an easy task. Maintaining and regularly enriching it is even more difficult. However, crowdsourcing the work of linking terms to data can make a business glossary more alive and easier to maintain.

Five common challenges with Business Glossary

Everybody hailing from the data world understands the significance of a business glossary and has even invested in building one. Who doesn’t want a clean list of unique business terms defining the contents of each data table?!

    Here are five challenges that prevent organizations from realizing the full value of a business glossary:
  1. Labor-intensive to build
  2. Challenging to standardize
  3. Difficult to update
  4. Far away from the actual data
  5. Missing domain expertise

Labor-intensive to build

Building a business glossary takes time and effort. Whether it is created on Excel or fed into a glossary management system, it takes time to develop unique business glossary terms and define them for each data table.

Here is a list of tools by DBMS Tools to help you build, maintain, and share business glossaries inside your organization.

Challenging to standardize

A business glossary must follow a standard structure. It should have a consistent hierarchy based on the general nature of data in the organization. The challenge is to keep the structure generic enough to incorporate glossary terms from multiple domains like finance, HR, sales, etc.

Difficult to update

It is essential to keep enriching and updating a business glossary. Unless it is up to date with new glossary terms and definitions, the users will not trust it and hence not use it. A dedicated group of people should maintain the business glossary, add new terms, and enrich the existing ones.

Read this article by the open-source community about how to iterate on your business glossary collaboratively.

Far away from the actual data

Usually, the business glossary system is built and stored away from the data. This makes the business glossary a non-interactive, static repository. Ideally, business glossary terms should be attached to each data set — this makes search faster and data easier to understand.

Curious how to link your business glossary terms to data? Read this detailed article .

Missing domain expertise

The people responsible for building the business glossary cannot know everything about every data set. They may lack domain expertise or contextual information, which leads to incomplete glossary terms and inaccurate linking of glossary terms to data.

How to use crowdsourcing to improve your business glossary

The challenges above clearly show two things. First, the business glossary and the data have to be linked together. Second, the people who know the most about data should be able to recommend glossary terms.

Crowdsourcing is a great way to create a live business glossary and actively link it with the organization's data. Active data users can use their domain knowledge to recommend accurate glossary terms for their respective data sets.

💡Pro Tip: Auto-glossary suggestions by an AI powered bot is also proving to be useful in reducing the manual work of linking glossary terms to each data table.

Who has the most information about the data? The person who is working with it the most. Hence, crowdsourcing the process of attaching business glossary terms to data is crucial for data democratization.

However, the crowdsourcing process should be centrally managed to maintain the business glossary’s hygiene. The data users should create requests to link existing glossary terms to the data, and the stewards or admins should approve or reject the request. This will keep the glossary creation process iterative and robust.

Suggesting business glossary terms via crowdsourcing


A business glossary is vital to lay the grounds for data governance in an organization.

Crowdsourcing business glossary terms, along with a centrally administered approval mechanism, keeps your business glossary useful and data democratized. It allows human tribal knowledge to flow within the data system without messing up its centralized structure and hygiene.

Are you looking for an intelligent business glossary solution?See the demo

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