Business Glossary has information regarding the business domain; it has a definition of business technologies, tools, and processes. It is an important aspect of data governance strategy. The marketing world speaks in a different language where they use technical terms related to business.
Thus to understand and to be able to communicate in the same language a business glossary is a must. It lets the beginners check for business processes and other related technicalities. Many times different firms call the same term by different names. So, common business glossaries can be checked for convenience.
Thus, managing a business glossary is important in businesses. Exchanging data between companies and understanding one another’s use of terms plays a key role in managing a business glossary. New terms and technologies keep coming every year, so to be aware are also important when it comes to managing a business glossary. International IT companies should be studied for effective management.
Enabling collaborative workflow management makes a business glossary more effective. The relationship between a business’s metadata and the terms for enhanced decision making is defined under business glossary. Established businesses publish the business terms and definitions so that other businesses can access it; the role of the business glossary users who are members of data governance is to create, approve and publish a business glossary.
They manage the business glossary as per permit to publish. Business glossary users, when given approval and permission, can provide input during creation that is before the data glossary is published. People often confuse with Data Dictionary and Business Glossary. Let us compare Data Dictionary vs. Business Glossary; data dictionary is technical than business glossary and contains information regarding data like transformation rules and data type.
A data dictionary helps IT system analysts to understand all about the metadata. A data dictionary is prepared in a spreadsheet format. Data related business requirements are translated into technical requirements using the Data Dictionary. IT teams use the Data Dictionary to evaluate the tools required for a particular project. A business glossary helps in bridging the gap between business and Information Technology and thus helps in data governance.