Data modeling at a glance
Get a high-level view of Data modeling.
Take it from the top with data modeling. Get the overview here, then see the sub topics in this section to drill down to the details.
What is data modeling?
Data Modeling is the process of organizing and defining your data. For example, you might define an "Individual" as an entity type and give it attributes like name, address, and phone number. You also set rules for handling this data, such as identifying duplicates, deciding which information to keep if there are conflicts, and ensuring the data meets certain quality standards.
Who is data modeling for?
This content is curated for these Reltio user roles defined in topic About roles:
Data Product Owner
Developer
Reltio Configurator
Solution Architect
Why would I use data modeling?
Ensure your data is consistent and ready for analysis.
Prevent duplicates or inaccuracies from cluttering your system.
Make it easier for teams to work with data that follows clear rules and formats.
When would I use data modeling?
Define categories of data (like "Individuals" or "Products") and their details (such as an individual's name, address, and phone number).
Set rules to identify and merge duplicates (e.g., ensuring "John Doe at 123 Main St" isn't entered twice).
Decide which information to prioritize when multiple sources provide conflicting data (e.g., choosing the most recent phone number).
Validate data as it's entered to ensure accuracy (e.g., verifying email addresses follow the correct format)
Data Modeling is critical whenever you're dealing with complex data from multiple sources that needs to work together seamlessly.
Where do I find data modeling?
Reltio Multidomain MDM
Reltio Customer 360
Model data from . For more information, see topic Data Modeler at a glance.