Conceptual modeling
Define high-level business rules and relationships before anything is built.
Services · Merger, acquisition & transformation
SAP data modeling: restructure your schema before it slows the next migration
New sources, system upgrades, and growing reporting needs outrun schemas built years ago.
- Levels
- Conceptual, logical, physical
The problem
Legacy schemas weren't built for where you're going
SAP data modeling redesigns the data schema to align with evolving business needs: changes to tables, relationships, and data flows that improve scalability and performance.
It's typically needed when integrating new sources, upgrading systems, or extending reporting, turning legacy models into structures the business can keep using.
- Conceptual models that define business rules and relationships
- Logical models of entities, attributes, and relationships
- Physical models optimized for database performance
Capabilities
Our SAP data modeling services
Logical modeling
Structure entities, attributes, and relationships independent of any database.
Physical modeling
Optimize database design for performance in the target system.
Cleansed before it's modeled
Data Pristine cleanses master and transactional data so modeling starts from a reliable baseline.
Benefits
Benefits of a remodeled schema
Improved accuracy
More reliable data across the systems that depend on the model.
Stronger governance
Models built with compliance and data governance in mind.
Faster integration
Remodeled schemas speed up system transformation projects.
Better analytics support
Structures ready for BI and advanced analytics workloads.
Our Partners
Next step
Talk to the people who build the tools
Need to restructure a schema before your next system change?