Business Insights
to Implementation on One Data Platform
This is because there's too many layers between the data consumer and the data team.
We connect the dots on the easiest data management platform for your enterprise.
40%
Customers have reported up to 40% faster data product design, even on data large projects.
6:1
We typically have 6 business users for every data team user, improving collaboration between teams.
1000+
Our customers have used Ellie to build thousands of data products since inception.
95%
Over 95% of Ellie users and customers continue to use the tool year on year.
The Easiest Data Management Platform
Gather Business Requirements with Assistance from GenAI
Business experts have to spend far too much time trying to connect with data teams. What if they could create a conceptual ER-diagram that explains their data requirements without having to work with any data experts?
The advancements in GenAI make this easy and fast. A domain expert can use Ellie to create ER diagrams instantly through text, diagrams, or via a chatbot.
Business, Implementation Layers on One Data Management Tool
What if your “semantic layer” isn’t only about gathering business requirements?
What if you could convert it directly into a physical data model and SQL databases?
You can use Ellie to gather requirements and then model the data that’s required to meet those requirements on one platform.
Our semantic layer — conceptual ER-diagrams — can be converted into logical or physical data models, providing a direct connection between business and data.
A Physical Layer Built Directly on Top of Real Business Problems
A data team member, say an analytics engineer, can go from semantic or business understanding of a data problem to actually creating an implementable database on Ellie.
Our physical modeling canvas combines the ease of use of our conceptual canvas while closely mimicking the structure of an actual database.
When possible, you can continue to keep the connection between the tables an engineer has created and the entities used in an ER diagram that is easily understood by domain experts.
Reverse Engineer Existing Data Warehouse, Explain Databases
You can bring in a database schema from a modern cloud database solution like Snowflake, and Ellie will automatically draw ER diagrams for physical data models.
In case your data model is very large, you can use the Source Navigator to load the tables and columns in while generating synthetic metadata. Source Navigator lets you browse and search relevant tables and add them to the modeling canvas where needed.
In addition, each entity in the diagram has its own description apart from all the metadata that was brought in from your cloud database.
You can then reuse the tables to create new data products.
Connect Your Data Catalog to Enrich Business & Data Layers
Your data catalog is a tightly integrated dictionary of business and data terms, but it’s rarely used. Connecting it to Ellie ensures that a data catalog is part of gathering requirements (ER diagrams) and connected to physical data models.
Your data team — from engineers to architects — now have an easier way to design and build data products.
You can also create approval workflows to update information in a data catalog if changes are made to definitions in Ellie.
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