Standardizing Dimensions: Completing the Unified Data Model Introduction A Unified Data Model is only as strong as the consistency of its dimensions. This article explains why standardizing dimensions is the critical final step in completing the Unified Data Model—and how it moves the platform from schema alignment to true analy...

Why Data Governance Matters In today’s data-driven world, governance isn’t just a technical requirement—it’s foundational to successful business operations. Good governance ensures data is not only accurate and compliant but also discoverable and usable at scale. At the heart of this approach lies robust, high-quality metadata, which transforms ra...

Introduction Ensuring data correctness and integrity is crucial in any data-driven system. Poor data quality can lead to incorrect insights, disrupted business processes, and failed pipelines. The Unified Data Model (UDM) enforces robust validation rules to maintain high data quality, ensuring consistency across all assets. In this post, we’ll exp...

Introduction In today’s data-driven world, businesses need a structured approach to managing foundational data assets. The Unified Data Model (UDM) provides a scalable and governed framework for modeling key entities while keeping data assets maintainable and extensible. In this post, we will use a hypothetical business entity as an example to de...

Introduction Some years ago, we were wrestling with a persistent issue in our data stack. Every team had their own way of collecting and structuring data. What was a simple query for one team became a debugging nightmare for another. Discovering the right dataset felt like looking for a needle in a haystack, and standardizing definitions was alm...