Create your application’s foundation with mondCloud’s Data Modeler. Unlike a traditional data model, mondCloud’s data modeler creates a Virtual Canonical Data Model, which dramatically improves efficiency by enabling automation of the cumbersome, traditionally manual process of mapping individual data fields between sources and targets.
mondCloud's Data Modeler augments the standard process of defining a data model by adding a harmonizing virtual layer that allows each user to identify incoming data formats according to their own definitions and nomenclature.
This virtual layer then enables mondCloud™ to automatically sort the data according to various users’ own definitions, across any step of a business process.
If your data model needs to change in response to shifting requirements, there is no need to systematically re-map your data’s connections. Instead, simply edit your Virtual Canonical Data Model, and mondCloud's powerful Notion technology will automatically incorporate your edits throughout the rest of the application.
In addition to interfacing with the rest of the mondCloud™ Tools, mondCloud’s Data Modeler also includes adaptors to facilitate predefined mapping from your new data model into ERP systems such as SAP, Oracle E-Business Suite, QAD/MFGPro, Salesforce, Fiserv, and JD Edwards.