Data catalog

A data catalog is a directory, central repository, or database that contains all information about data from a company.

What does a data catalog work?

Capture of metadata: The data catalog captures metadata toward data sources, databases, tables, data records, data origin and data quality.
Provision of search functions: Users can use the Data Catalog to search data based on various criteria, such as name, topic, or data format.
Visualizing data relationships: The data catalog can visualize data relationships and data lines to illustrate the context of the data.
Support from Data Governance: The data catalog can Data Governance-Support initiatives by providing information about data ownership, data stewardship, Data quality metrics and provides data usage guidelines.
Fostering collaboration: The data catalog can promote collaboration between teams by allowing users to comment on data sources add, share experiences and share best practices.

Learn more about our approach to Data Governance and Data Organization You can find them on our services pages.

Improved data transparency: The data catalog makes it easier to understand what data is available in an organization and how it can be used.
More efficient use of data: Users can use the data catalog to find the data they need faster and easier.
Improved data quality: The data catalog can help to data quality to improve by providing information about data errors and inconsistencies.
Support from Data Governance: The data catalog can Data Governance-Support initiatives by providing information about data ownership, data stewardship and provides data usage guidelines.
Fostering collaboration: The data catalog can promote collaboration between teams by allowing users to comment on data sources add, share experiences and share best practices.

Data discovery: Users can use the data catalog to find the data they need in large and complex data landscapes.
Data understanding: The data catalog helps users to better understand the context, quality, and relevance of the data.
Data Governance: The data catalog supports Data Governance initiatives by providing information about data ownership, data stewardship, data quality provides metrics and data usage guidelines.
Collaboration: The Data Catalog promotes collaboration between teams by allowing users to comment on data sources add, share experiences and share best practices.
Safety and Compliance: The data catalog can help ensure that data is in accordance with data protection and Compliance-Organization policies are used.
Data line: The data catalog can provide insights into the origin of data, its movement through systems and its transformations.
Self-service: The data catalog can make self-service access to data easier.
Optimizing data projects: The data catalog can improve the efficiency of data projects.

Data scientists: Data scientists can use the data catalog to create new data sources to find, to evaluate the quality of data and to find data for your analyses.
Data Analysts: Data analysts can use the Data Catalog to find data for reports and dashboards and the data quality to check.
Data Engineers: Data engineers can use the Data Catalog to manage data infrastructure and make data available to data scientists and data analysts.
Subject matter experts: Subject matter experts can use the Data Catalog to find data that is relevant to their work.

Integration with data sources: The data catalog must be able to collect data from various data sources to be recorded, e.g. from databases, data warehouses and Data Lakes.
Flexible search features: The data catalog must offer flexible search functions that enable users to find data based on various criteria.
Visualizing data relationships: The data catalog should be able to visualize data relationships and data lines to illustrate the context of the data.
Support from Data Governance: The data catalog should Data Governance-can support initiatives by providing information about data ownership, data stewardship, Data quality metrics and provides data usage guidelines.
User-friendly interface: The data catalog should provide a user-friendly interface that enables users with different technical skills