The Data Dictionary module in Datarul offers a detailed catalog of data elements, attributes, and their respective definitions within an organization's data ecosystem. It provides a structured and organized framework for documenting metadata, including data types, formats, and relationships, thereby facilitating understanding and interpretation of data assets across different stakeholders.
With the Data Dictionary, organizations can establish a common language for data management, improve data governance practices, and streamline data integration and analysis efforts, leading to more informed decision-making and better business outcomes.
Within its four modules, Datarul provides one place for the all information needed. Key data powered, catalogued, measured and tracked through the organization in a single standardized model.
Provide seamless data integration, seamlessly integrating various data sources such as PostgreSQL, Oracle and more.
Improve data governance, deepen understanding, and consolidate processes with sample imports, scheduled updates, and change tracking.
Use AI to connect business terms to data, make automated discoveries, create valuable dataset connections, and streamline data operations.
Seamlessly link stored procedures and functions to your business terms using our sophisticated SQL parser.
Using Datarul, we effectively tagged sensitive business terms, quickly identified sensitive data in our bank's databases, and increased security and compliance.
By integrating Datarul, our insurance company maps report columns to business terms directly in the interface, which significantly improves the clarity of reports and contributes to informed decision making.
