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Data and Process Modeling

Data modeling and process modeling are foundational to achieving a comprehensive understanding of an organization’s data and its relationship to business processes.  

Logical & Physical ER Diagramming

Visualize and design data structures with comprehensive logical and physical ER diagramming

ER Diagram Generation

Generate ER diagrams directly from data source metadata,  relational database DDL, and file (csv, JSON) file imports

Naming Standards Propogation

Supervised learning capabilities evaluate and apply selected naming standards to models

Process Model Reverse Engineering

Creation of diagrams from third-party process modeling tools using the BPMN XML standard

Model Versioning

Models are versioned individually and can also be included in broader environment and architecture versioning

ER Diagram Reverse Engineer

Import and reverse engineer ER diagrams from tools like ERWin and ER/Studio

Non-Relational Modeling

Diagramming extends beyond relational data structures to  hierarchical (NoSQL) databases, and object stores (e.g. JSON in Amazon S3)

Process Model Diagramming

Diagrams using the Object Management Group (OMG)  Business Process Model and Notation (BPMN) standard 

Data and Process Model Integration

Process diagram data store objects can be linked to data model objects such as data model, schema, tables, etc.

Comparing Model Differencing

Automated comparison of versions of the same or different models to show changes and differences

What Our Clients Say

Chief Data Officer, Top 5 Insurance Company

"MetaKarta data and process modeling capabilities transformed how we manage and align our data assets with business processes, improving efficiency and collaboration across teams."

 

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