Refter is a powerful platform that aims to increase data understanding and empower data consumers through clear and comprehensive documentation. With Refter, organizations can easily visualize data relations, manage the data lifecycle, and promote knowledge sharing among data users.
One of the key challenges in working with data is getting users to effectively use, understand, and be productive with it. Refter provides a lightweight and easy-to-integrate solution that turns data users into power users. By using Refter, organizations can boost productivity by making it easier for users to find, understand, and use their data without any extra hassle for developers.
Refter offers intuitive search functionality, allowing users to effortlessly search and explore dbt models and database objects. It also provides powerful filters that allow users to drill down to the specific data they need. This helps users save time and increase their understanding of the data they are working with.
Data documentation is crucial for ensuring accurate results and promoting effective data usage. Refter goes beyond lineage and helps users document entity relations. It assists users in discovering and visualizing critical relationships in their data, ensuring that data is used correctly and accurately. Additionally, Refter offers clean and tailored graph algorithms to visualize both simple and complex entity-relationship diagrams (ERDs), maximizing their utility.
To communicate change effectively, Refter makes it easy for organizations to keep end users informed about changes in metrics, data, and business requirements. By providing a knowledge base and promoting collaboration, Refter enables team members to attach query snippets to specific tables in the data catalog, making it easy to share and collaborate on queries.
Refter is designed to be easy to integrate into existing dbt projects, without any additional dependencies. It supports multiple dbt projects, allowing organizations to consolidate documentation and combine lineage and ERDs in one place.
To learn more about Refter and start documenting your data today, visit Refter.