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Our Blog

Latest news from our team

Blog Post
Data Culture
May 26, 2026
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5 mins

Data Modeling Tools for Banking: What Enterprises Need for Governance, KYC, and Regulatory Reporting

Stop data modeling failures in banking. Learn what modern, collaborative tools are essential for enterprise
Blog Post
Data Culture
May 19, 2026
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5 min read

The model belongs to everyone now

AI is democratising data modeling. Here's how ellie.ai helps business users, architects and engineers collaborate.
Blog Post
May 18, 2026
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5 Mins

Data Vault, Kimball, or Medallion? Why Conceptual Modeling Comes First

Don't choose Data Vault, Kimball, or Medallion first. Conceptual modeling ensures business alignment
Case Study
Data Culture
May 13, 2026
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3 Mins.

How One of the World’s Leading Law Firms Is Building the Semantic Layer for AI-Ready Legal Services

Release
April 30, 2026
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2 mins

Ellie 9.4: Version Control 2.0, Leveled Up

Integrate end-to-end Git workflows with GitHub, GitLab, and Azure DevOps
Blog Post
Data Culture
April 21, 2026
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5 mins

Building a Universal Context Layer: Why It Starts with Data Modeling

Data inconsistency erodes trust. Conceptual data modeling is the foundation for a Universal Context Layer
About us

Why Ellie

Lets you design data products ~40% Faster
35% higher rate of data product success
95% of our customers never stop using Ellie
Cloud-based and easy to use-up and running in just 5 minutes
Drive data culture across your organization, avg 6:1 business to data user ratio
Design and collaborate directly from your browser
Data for everyone

Ellie’s Key Features

Data Vault & Warehousing

Get the fundamentals of your data warehouse right, and maintain your design throughout the implementation phase.

Data Governance & Catalogs

Agree on your rules, policies & ownership of data without getting distracted by technical level details.

Data Mesh

Design your core business data entities within your domain fast, and enable cross-domain communication with ease.
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Data Culture

Turn complicated day-to-day hurdles of driving data culture, into a clear process with a low-entry point.
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