Explainer: What is Data Model Standardization?

Wondering what Data Model Standardization is and what it's used for? Read this article to find out.

What is Data Model Standardization?

Data Model Standardization (DMS) consists of components that standardize and apply context to data models to help scale solutions without compromising flexibility. The first example is Dimension Types: they convey a Vena standard definition of a dimension. This Vena standard definition allows Vena to understand your dimension, regardless of what you name it. Dimension Types give context to what a dimension is used for while giving you the flexibility to name your dimensions whatever you want. Dimension Types allow Vena to understand data models better to build smarter features for you.

Data model standardization is beneficial for:

• Taking advantage of best practice solutions.
• Unlocking compatibility with new features like Functions and Vena Insights.

How can I add standard components to my existing data model?

Assigning Dimension Types to dimensions in your existing data models allows you to apply standardization practices to any model. By assigning Dimension Types, you can leverage product features that rely on dimension types such as FX Functions, Vena Insights and more. Find out how to tag dimension types in this article. 

What happened to Standard Models?

As of Fall 2023, Vena is moving away from Standard and non-standard models. Instead, now any model can adopt standard practices through the use of Dimension Types. Data models that were formerly called Standard Models will no longer have the Standard Model label. However, you can continue using them as you would any other data model. 

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