Using databases is crucial for organizations that want to make the most of large amounts of data. Efficient data consumption and analysis allow organizations to improve decision making and build better business models. Using databases allows all stakeholders to access data, making it easier to find and use it consistently. They also reduce the need for professional data scientists to help analyze and interpret data.

Databases can capture metadata to help businesses identify people, products, and services. This metadata includes business descriptions, comments, and annotations. Often, these attributes are also tagged with classifications and ratings. Using databases can also help businesses identify the relationship between two or more data assets. For example, if a company wants to create a knowledge graph, they can use the information to develop new strategies.

The first step in creating a data dictionary is to define the key characteristics of the data in question. Once these characteristics are defined, the next step is to organize the data. This data dictionary can help users discover and understand related data across multiple databases. This will help them achieve their business goals. The data dictionary also aids in the process of joining and cleaning data (more).

Data catalogs are another tool for data governance. These catalogs allow users to search through data by using specific filters and keywords. In addition, many data catalogs automatically sort data based on the relevance of the terms. This allows users to access relevant data more efficiently and eliminates the need for data engineers to manually search through large amounts of data.