Data Standardization ERD Examples
Data standardization is critical for ensuring consistency across systems. Our data standardization ERD examples show how to model entities, attributes, and relationships involved in cleaning, mapping, and normalizing data.
Describe it in plain English — the AI drafts it, you edit. No template wrangling.
About these examples.
Whether you're integrating customer records, normalizing product catalogs, or harmonizing clinical data, these diagrams provide a blueprint for your data pipeline.
Each example is fully editable; customize tables, add new entities, and collaborate with your team to fit your exact use case.
Make one yourself.
Identify source and target data models
Start by listing the key entities from your source systems and the desired standardized schema.
Map attributes and define transformations
Document how fields map, what transformations are needed, and any lookups or rules.
Add relationships and constraints
Model the links between standardized entities, including foreign keys, unique constraints, and validation rules.
Generate the ERD with ChatDiagram
Use our AI-powered tool to convert your description into a visual diagram, then refine it until it matches your requirements.
Share and implement
Export to SQL, share with stakeholders, and iterate as requirements evolve.
Frequently asked questions
What is a data standardization ERD?
Who uses data standardization ERDs?
Can I customize the provided examples?
Does ChatDiagram support generating SQL from ERDs?
Is there a limit to the number of entities in a diagram?
Open the AI editor and describe what you need — export PNG/SVG when you're done.