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