Data catalog tools help business users and data analysts discover and use the right data for their needs. They reduce reliance on manual processes such as sifting through multiple databases to find specific data or manually tagging files with keywords and labels.
Build Data Literacy: Many data catalog tools can also increase data literacy by providing information about how to interpret data and metadata. This includes linking fields, tables, and other assets to business terms and definitions to make it easier for people to understand what the data means.
Democratize Data: Data catalog tools allow data scientists, IT professionals, and other users to easily access and share valuable datasets. This increases the ability of everyone to work with and understand data and reduces the risk of data loss.
Improve Operational Efficiency: A data catalog can create a central repository for all of an organization’s information and keep it organized so that business users can find the data they need quickly. This can increase efficiency in the workplace and provide improved decision-making capabilities across the entire organization.
Maintain Data Access Hierarchy: A data catalog can also help data teams maintain a consistent data access hierarchy for all of their systems and data sets. This allows for transparent access rights and permissions across all data resources within an organization.
Integration and Interoperability: A good data catalog should be able to work with all of the different data preparation and analytics tools that an organization uses. This can include data lakes, ETL, BI, and other analytics and visualization solutions.
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