The Scope Covered by HOPEX IA
Three Modeling Levels
The HOPEX Data Architecture solution covers the three levels of data modeling for an organization:
• Business (conceptual) level: used to define the business architecture concepts and generate glossaries. These concepts can be implemented by objects at the logical level and be described by data models.
See
Introduction to the Creation of a Business Ontology.
• Logical level: intended for clients seeking to develop general business-oriented models. Here it consists of modeling data of a domain, application or business process. It represents what we wish to do and where we want to go, irrespective of technical questions related to implementation. Data is represented in a data model or a class diagram.
See:
Defining Logical Data.
• Physical level: consists of defining models intended to persist in a DBMS. It comprises detailed specifications for production of the physical diagram of the repository. It is represented by the relational diagram.
The physical level also defines the way in which data is stored and how it can be accessed. It enables use of data by DBMSs.
See
Database and Physical Data.
Data Category
You can classify repository data by category. A dedicated tree lists the various categories and associated data. Data thus classified can be used in the HOPEX Privacy Management solution specific to sensitive data and compliance with the GDPR.
Design Workflow
As a data designer (information asset manager) or creator (which concerns all IA profiles), you can launch a workflow on certain objects of the data architecture (such as a data lineage or a data domain) to track their design, their update and their validation.
Workflow reports allow you to view the number of objects that are found at each workflow step (number of objects undergoing design, analysis, etc).
Definition of Responsibilities
When data is designed, managers are defined. They are notified of update or validation requests in the workflow framework of design or evaluation concerning the data in question.
Analysis reports
Analysis reports are dynamic reports that are used to analyze repository data: data completeness, data use, responsibilities, etc. HOPEX Data Architecture supplies standard reports by default that allow you to check the quality, the use and the compliance of your data.